Reviews, Challenges, and Insights on Computational Methods for Network Reconfigurations in Smart Electricity Distribution Networks

Power losses and voltage profiles in electricity distribution networks are a problem, particularly in developing nations. Many techniques have reportedly been used in the previous ten years to address this issue. Among other solutions, network reconfigurations (NRs) are regarded as one of the most p...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:Archives of computational methods in engineering Ročník 31; číslo 3; s. 1233 - 1253
Hlavný autor: El-Fergany, Attia A.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Dordrecht Springer Netherlands 01.04.2024
Springer Nature B.V
Predmet:
Algorithms
Electric power distribution
Electric power loss
Engineering
Machine learning
Mathematical and Computational Engineering
Networks
Radial distribution
Review Article
Smart grid
Voltage profile
Smart electricity distribution network
Radiality
Network reconfigurations
Power losses reductions
ISSN:1134-3060, 1886-1784
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Abstract Power losses and voltage profiles in electricity distribution networks are a problem, particularly in developing nations. Many techniques have reportedly been used in the previous ten years to address this issue. Among other solutions, network reconfigurations (NRs) are regarded as one of the most practical. It is important to conduct a periodic update survey on this subject because the electricity radial distribution networks (RDNs) are continually evolving. Therefore, a thorough evaluation of the various techniques to address the issues with NRs along distribution networks is provided in this manuscript. There is discussion of several mathematical, traditional, heuristic-based, and machine-learning strategies. It is important to understand how the radiality is achieved as well as methods for resolving distribution load flow, particularly with greater R/X ratios. The most typical test cases used in the literature are listed. In order to enrich this review and make it useful to others, more than 200 articles (the majority of which were published in the last five years) are referenced inside the body of this text. The final conclusions and related future insights are presented. At last, this work is an invaluable resource for anyone involved in this field of study because it offers a comprehensive literary framework that can serve as the foundation for any future research on NRs and its prospective difficulties. Therefore, academics can use this framework to enhance previous formulations and approaches as well as suggest more effective models.
AbstractList Power losses and voltage profiles in electricity distribution networks are a problem, particularly in developing nations. Many techniques have reportedly been used in the previous ten years to address this issue. Among other solutions, network reconfigurations (NRs) are regarded as one of the most practical. It is important to conduct a periodic update survey on this subject because the electricity radial distribution networks (RDNs) are continually evolving. Therefore, a thorough evaluation of the various techniques to address the issues with NRs along distribution networks is provided in this manuscript. There is discussion of several mathematical, traditional, heuristic-based, and machine-learning strategies. It is important to understand how the radiality is achieved as well as methods for resolving distribution load flow, particularly with greater R/X ratios. The most typical test cases used in the literature are listed. In order to enrich this review and make it useful to others, more than 200 articles (the majority of which were published in the last five years) are referenced inside the body of this text. The final conclusions and related future insights are presented. At last, this work is an invaluable resource for anyone involved in this field of study because it offers a comprehensive literary framework that can serve as the foundation for any future research on NRs and its prospective difficulties. Therefore, academics can use this framework to enhance previous formulations and approaches as well as suggest more effective models.
Power losses and voltage profiles in electricity distribution networks are a problem, particularly in developing nations. Many techniques have reportedly been used in the previous ten years to address this issue. Among other solutions, network reconfigurations (NRs) are regarded as one of the most practical. It is important to conduct a periodic update survey on this subject because the electricity radial distribution networks (RDNs) are continually evolving. Therefore, a thorough evaluation of the various techniques to address the issues with NRs along distribution networks is provided in this manuscript. There is discussion of several mathematical, traditional, heuristic-based, and machine-learning strategies. It is important to understand how the radiality is achieved as well as methods for resolving distribution load flow, particularly with greater R/X ratios. The most typical test cases used in the literature are listed. In order to enrich this review and make it useful to others, more than 200 articles (the majority of which were published in the last five years) are referenced inside the body of this text. The final conclusions and related future insights are presented. At last, this work is an invaluable resource for anyone involved in this field of study because it offers a comprehensive literary framework that can serve as the foundation for any future research on NRs and its prospective difficulties. Therefore, academics can use this framework to enhance previous formulations and approaches as well as suggest more effective models.
Author El-Fergany, Attia A.
Author_xml – sequence: 1
  givenname: Attia A.
  orcidid: 0000-0003-3476-1361
  surname: El-Fergany
  fullname: El-Fergany, Attia A.
  email: el_fergany@ieee.org, el_fergany@zu.edu.eg
  organization: Electrical Power and Machines Department, Zagazig University
BookMark eNp9kMtKxDAUhoMoeH0BVwG3VnNr2i5lvMKo4GUdYno6E63JmKQObn1yMzOK4MJV_sD_Hc75ttG68w4Q2qfkiBJSHUdKa04LwniR_6QqyBraonUtC1rVYj1nykXBiSSbaDvGZ0JK0TRsC33ewbuFeTzEo6nue3ATyFm7Fl-5aCfTFLF3eORfZ0PSyXqne3wNaerbiDsf8A2kuQ8v-A6Md52dDGHZitg6fP-qQ8JnPZgUrLHpA5_amOPTsKj8oHEXbXS6j7D3_e6gx_Ozh9FlMb69uBqdjAvDJU8F7Rg3AoghlWioaWTHjQQBZSdKY4jhpOWlAK1rbkACCC5BVwxa3YJ8Yi3fQQerubPg3waIST37IeSDouKslLJmDStzq161TPAxBuhU3nx5Uwra9ooStTCuVsZVNq6WxhXJKPuDzoLNDj7-h_gKirmc7Yffrf6hvgAaf5i0
CitedBy_id crossref_primary_10_1109_ACCESS_2024_3505302
crossref_primary_10_1007_s11831_024_10191_7
crossref_primary_10_1007_s00202_024_02707_y
crossref_primary_10_1016_j_epsr_2025_111868
crossref_primary_10_1007_s44444_025_00008_8
crossref_primary_10_1016_j_pes_2025_100124
Cites_doi 10.1109/TSG.2014.2375160
10.1016/j.ijepes.2015.11.077
10.4108/eai.20-10-2022.2329060
10.1088/1742-6596/2527/1/012071
10.1109/TSG.2020.3005270
10.1016/j.aej.2021.06.079
10.3233/IFS-130892
10.3390/su15064868
10.3390/en12030553
10.1080/0305215X.2021.1897799
10.3390/math11030774
10.1201/9781315373324
10.1080/15325008.2012.755232
10.1109/TPWRD.2009.2027510
10.1080/01430750.2022.2127886
10.1016/j.epsr.2019.105943
10.1109/TPWRD.2003.813641
10.1016/j.epsr.2006.06.005
10.1155/2023/9930954
10.1049/iet-gtd.2015.0587
10.1016/j.energy.2017.07.102
10.1109/TPWRS.2011.2180406
10.1109/SEST53650.2022.9898469
10.1007/s11277-022-10026-3
10.1016/j.epsr.2018.12.026
10.1109/ACCESS.2022.3144665
10.3390/en14196387
10.1109/SIELMEN.2019.8905900
10.1109/TSG.2016.2604922
10.1016/j.ijepes.2016.03.009
10.1007/s00521-017-2877-z
10.5370/KIEE.2020.69.11.1659
10.1109/TPWRD.2021.3107534
10.1109/TIA.2018.2840533
10.1016/j.asej.2020.12.006
10.1109/PESS.2001.970238
10.1016/j.epsr.2018.07.023
10.1109/IAS44978.2020.9334819
10.1016/j.aej.2023.05.084
10.1016/j.ijepes.2017.06.016
10.1016/j.rser.2013.08.075
10.1016/j.ijepes.2014.09.020
10.1016/j.rser.2014.07.040
10.3390/en15249419
10.1002/2050-7038.12704
10.1109/61.25627
10.3390/en10040501
10.3390/math9010026
10.1109/TPWRD.2003.813818
10.1016/j.epsr.2020.106909
10.1155/2020/2353901
10.1049/gtd2.12869
10.3390/en16010199
10.1016/j.ijepes.2014.01.013
10.1016/j.epsr.2009.08.005
10.1016/j.ijepes.2012.03.010
10.1016/j.epsr.2012.01.014
10.1016/j.ijepes.2013.10.014
10.1016/j.compeleceng.2021.107518
10.1109/TD43745.2022.9817000
10.1007/s11831-022-09721-y
10.11591/ijece.v13i3.pp2384-2395
10.1016/j.epsr.2018.12.030
10.1016/j.asoc.2019.105720
10.1016/j.asoc.2022.109828
10.1155/2021/9987304
10.1007/978-981-10-7056-3_10
10.3390/su15010854
10.3390/en15062218
10.1080/15325000701473783
10.1016/j.ijepes.2016.04.017
10.1016/S0377-2217(98)00016-2
10.1016/S0378-7796(02)00041-X
10.1016/j.asoc.2016.12.018
10.11591/ijape.v9.i1.pp48-57
10.1016/j.egyr.2022.12.139
10.3390/en6031439
10.3390/s20102947
10.1007/s11831-019-09353-9
10.1016/j.asej.2020.06.005
10.1049/iet-rpg.2010.0180
10.1016/j.epsr.2023.109156
10.1109/TPWRS.2006.879234
10.1109/TPWRS.2012.2184307
10.3390/en16052454
10.22266/ijies2023.0430.24
10.1080/1448837X.2020.1800556
10.1109/TLA.2021.9461846
10.1109/TPWRD.2007.905370
10.1109/TPWRS.2011.2161349
10.1080/15325000601078179
10.1080/15325008.2015.1041623
10.1016/j.enpol.2017.11.068
10.1016/j.egypro.2011.12.934
10.1016/j.ijepes.2022.108829
10.1016/j.ijepes.2014.06.076
10.1109/TSG.2019.2963696
10.1109/TPWRS.2015.2425801
10.1541/ieejpes.126.1013
10.1016/j.asej.2020.09.024
10.1109/ACCESS.2021.3083688
10.1109/59.65901
10.1007/s40565-018-0480-7
10.1049/iet-gtd.2013.0290
10.1007/978-981-15-8218-9_45
10.1007/s40998-019-00261-z
10.3390/en16052395
10.1109/INDUSCON.2016.7874545
10.1007/s12652-020-02511-z
10.1016/j.asej.2020.07.009
10.1016/j.ijepes.2016.05.008
10.1007/s40565-016-0198-3
10.1109/TSG.2017.2724766
10.1007/s40313-013-0070-x
10.1109/ACCESS.2023.3243549
10.1109/59.761869
10.1109/ACCESS.2019.2918480
10.1155/2020/5643410
10.1007/BF01294129
10.1109/SmartGridComm.2019.8909777
10.1109/TPWRD.2023.3277816
10.1016/j.epsr.2016.06.035
10.3390/app13126937
10.1049/iet-gtd.2018.5886
10.1109/TPWRS.2023.3286406
10.1109/TSG.2017.2679238
10.3390/en15145269
10.1109/MEPCON55441.2022.10021757
10.1109/TPWRS.2005.846180
10.1002/etep.2073
10.3390/computation9060067
10.1109/TSG.2020.2974922
10.1109/ACCESS.2020.2997378
10.1016/j.enconman.2009.03.029
10.1109/TPWRS.2007.894848
10.1109/TSG.2020.3039984
10.1109/61.25637
10.1080/15325008.2016.1172281
10.1007/s00202-021-01399-y
10.1002/2050-7038.12230
10.1016/j.epsr.2012.04.016
10.1007/978-3-030-34050-6_14
10.1109/ACCESS.2021.3107475
10.1016/j.asoc.2015.02.028
10.1109/TPWRS.2014.2330628
10.7227/IJEEE.37.4.8
10.1016/j.epsr.2009.05.004
10.1109/JESTPE.2013.2277917
10.1109/JSYST.2017.2715199
10.1049/iet-gtd.2018.0228
10.1016/j.ref.2019.04.001
10.1049/iet-gtd.2012.0661
10.1049/iet-stg.2018.0146
10.1007/s11831-021-09534-5
10.1080/15325008.2023.2196673
10.1080/15325008.2015.1102989
10.1016/j.aej.2021.09.063
10.3390/math7121182
10.1016/j.ijepes.2014.04.064
10.1007/s00202-019-00755-3
10.1109/SAUPEC55179.2022.9730628
10.3390/en15062083
10.1155/2023/6081991
10.1016/j.aej.2022.01.056
10.1016/j.asej.2015.11.018
10.3390/en16073072
10.3390/en15155317
10.1007/s12667-016-0195-7
10.1109/TPWRD.2021.3070796
10.1016/S0142-0615(98)00005-2
10.1016/j.asoc.2020.106293
10.1007/978-3-030-77696-1
10.1016/S0378-7796(02)00081-0
10.1016/j.epsr.2010.01.001
10.1016/j.ifacol.2017.08.011
10.1016/j.aej.2021.12.012
10.1002/etep.2108
10.1109/TPWRS.2011.2167991
10.14257/ijgdc.2018.11.3.06
ContentType Journal Article
Copyright The Author(s) 2023
The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Copyright_xml – notice: The Author(s) 2023
– notice: The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
DBID C6C
AAYXX
CITATION
3V.
7WY
7WZ
7XB
87Z
8AL
8FE
8FG
8FK
8FL
ABJCF
ABUWG
AFKRA
ARAPS
AZQEC
BENPR
BEZIV
BGLVJ
CCPQU
DWQXO
FRNLG
F~G
GNUQQ
HCIFZ
JQ2
K60
K6~
K7-
L.-
L6V
M0C
M0N
M7S
P5Z
P62
PHGZM
PHGZT
PKEHL
PQBIZ
PQBZA
PQEST
PQGLB
PQQKQ
PQUKI
PTHSS
PYYUZ
Q9U
DOI 10.1007/s11831-023-10007-0
DatabaseName Springer Nature OA Free Journals
CrossRef
ProQuest Central (Corporate)
ProQuest ABI/INFORM Collection
ABI/INFORM Global (PDF only)
ProQuest Central (purchase pre-March 2016)
ABI/INFORM Collection
Computing Database (Alumni Edition)
ProQuest SciTech Collection
ProQuest Technology Collection
ProQuest Central (Alumni) (purchase pre-March 2016)
ABI/INFORM Collection (Alumni)
ProQuest Materials Science & Engineering
ProQuest Central (Alumni)
ProQuest Central UK/Ireland
Advanced Technologies & Computer Science Collection
ProQuest Central Essentials
ProQuest Central
Business Premium Collection
Technology Collection
ProQuest One Community College
ProQuest Central
Business Premium Collection (Alumni)
ABI/INFORM Global (Corporate)
ProQuest Central Student
SciTech Premium Collection
ProQuest Computer Science Collection
ProQuest Business Collection (Alumni Edition)
ProQuest Business Collection
Computer Science Database
ABI/INFORM Professional Advanced
ProQuest Engineering Collection
ABI/INFORM Global
Computing Database
Engineering Database
Advanced Technologies & Aerospace Database
ProQuest Advanced Technologies & Aerospace Collection
ProQuest One Academic
ProQuest One Academic
ProQuest One Academic Middle East (New)
ProQuest One Business (UW System Shared)
ProQuest One Business (Alumni)
ProQuest One Academic Eastern Edition (DO NOT USE)
One Applied & Life Sciences
ProQuest One Academic (retired)
ProQuest One Academic UKI Edition
Engineering Collection
ABI/INFORM Collection China
ProQuest Central Basic
DatabaseTitle CrossRef
ABI/INFORM Global (Corporate)
ProQuest Business Collection (Alumni Edition)
ProQuest One Business
Computer Science Database
ProQuest Central Student
Technology Collection
ProQuest One Academic Middle East (New)
ProQuest Advanced Technologies & Aerospace Collection
ProQuest Central Essentials
ProQuest Computer Science Collection
ProQuest Central (Alumni Edition)
SciTech Premium Collection
ProQuest One Community College
ABI/INFORM Complete
ProQuest Central
ABI/INFORM Professional Advanced
ProQuest One Applied & Life Sciences
ProQuest Engineering Collection
ProQuest Central Korea
ProQuest Central (New)
ABI/INFORM Complete (Alumni Edition)
Engineering Collection
Advanced Technologies & Aerospace Collection
Business Premium Collection
ABI/INFORM Global
ProQuest Computing
Engineering Database
ABI/INFORM Global (Alumni Edition)
ProQuest Central Basic
ProQuest Computing (Alumni Edition)
ProQuest One Academic Eastern Edition
ABI/INFORM China
ProQuest Technology Collection
ProQuest SciTech Collection
ProQuest Business Collection
Advanced Technologies & Aerospace Database
ProQuest One Academic UKI Edition
Materials Science & Engineering Collection
ProQuest One Business (Alumni)
ProQuest One Academic
ProQuest Central (Alumni)
ProQuest One Academic (New)
Business Premium Collection (Alumni)
DatabaseTitleList CrossRef
ABI/INFORM Global (Corporate)
Database_xml – sequence: 1
  dbid: BENPR
  name: ProQuest Central (subscription)
  url: https://www.proquest.com/central
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Applied Sciences
Engineering
EISSN 1886-1784
EndPage 1253
ExternalDocumentID 10_1007_s11831_023_10007_0
GrantInformation_xml – fundername: Zagazig University
GroupedDBID -5B
-5G
-BR
-EM
-Y2
-~C
-~X
.4S
.86
.DC
.VR
06D
0R~
0VY
1N0
1SB
203
23M
28-
29~
2J2
2JN
2JY
2KG
2KM
2LR
2VQ
2~H
30V
3V.
4.4
406
408
40D
40E
5GY
5VS
67Z
6NX
7WY
8FE
8FG
8FL
8TC
8UJ
95-
95.
95~
96X
AAAVM
AABHQ
AACDK
AAHNG
AAIAL
AAJBT
AAJKR
AANZL
AARHV
AARTL
AASML
AATNV
AATVU
AAUYE
AAWCG
AAYIU
AAYQN
AAYTO
AAYZH
ABAKF
ABDZT
ABECU
ABFTV
ABHQN
ABJCF
ABJNI
ABJOX
ABKCH
ABMNI
ABMQK
ABNWP
ABQBU
ABQSL
ABSXP
ABTEG
ABTHY
ABTKH
ABTMW
ABULA
ABUWG
ABWNU
ABXPI
ACAOD
ACBXY
ACDTI
ACGFS
ACHSB
ACHXU
ACIWK
ACKNC
ACMDZ
ACMLO
ACOKC
ACOMO
ACPIV
ACZOJ
ADHHG
ADHIR
ADINQ
ADKNI
ADKPE
ADMLS
ADRFC
ADTPH
ADURQ
ADYFF
ADZKW
AEBTG
AEFQL
AEGAL
AEGNC
AEJHL
AEJRE
AEKMD
AEMSY
AENEX
AEOHA
AEPYU
AESKC
AETLH
AEVLU
AEXYK
AFBBN
AFEXP
AFGCZ
AFKRA
AFLOW
AFQWF
AFWTZ
AFZKB
AGAYW
AGDGC
AGGDS
AGJBK
AGMZJ
AGQEE
AGQMX
AGRTI
AGWIL
AGWZB
AGYKE
AHAVH
AHBYD
AHKAY
AHSBF
AHYZX
AIAKS
AIGIU
AIIXL
AILAN
AITGF
AJBLW
AJRNO
AJZVZ
ALMA_UNASSIGNED_HOLDINGS
ALWAN
AMKLP
AMXSW
AMYLF
AMYQR
AOCGG
ARAPS
ARCEE
ARCSS
ARMRJ
ASPBG
AVWKF
AXYYD
AYJHY
AZFZN
AZQEC
B-.
BA0
BBWZM
BDATZ
BENPR
BEZIV
BGLVJ
BGNMA
BPHCQ
C6C
CAG
CCPQU
COF
CS3
CSCUP
DDRTE
DNIVK
DPUIP
DWQXO
EBLON
EBS
EDO
EIOEI
EJD
ESBYG
FEDTE
FERAY
FFXSO
FIGPU
FINBP
FNLPD
FRNLG
FRRFC
FSGXE
FWDCC
GGCAI
GGRSB
GJIRD
GNUQQ
GNWQR
GQ6
GQ7
GROUPED_ABI_INFORM_COMPLETE
H13
HCIFZ
HF~
HG5
HG6
HMJXF
HRMNR
HVGLF
HZ~
I-F
IJ-
IKXTQ
IWAJR
IXC
IXD
IXE
IZQ
I~X
I~Z
J-C
J0Z
JBSCW
K60
K6V
K6~
K7-
KDC
KOV
L6V
LLZTM
M0C
M0N
M4Y
M7S
MA-
MK~
N2Q
NB0
NDZJH
NF0
NPVJJ
NQJWS
NU0
O9-
O93
O9G
O9I
O9J
OAM
P19
P2P
P62
P9P
PF0
PQBIZ
PQBZA
PQQKQ
PROAC
PT4
PT5
PTHSS
QOK
QOS
R4E
R89
R9I
RHV
RNI
RNS
ROL
RPX
RSV
RZK
S16
S1Z
S26
S27
S28
S3B
SAP
SCLPG
SCV
SDH
SDM
SEG
SHX
SISQX
SJYHP
SNE
SNPRN
SNX
SOHCF
SOJ
SPISZ
SRMVM
SSLCW
STPWE
SZN
T13
T16
TSG
TSK
TSV
TUC
TUS
U2A
UG4
UOJIU
UTJUX
UZXMN
VC2
VFIZW
W48
WK8
YLTOR
Z45
Z5O
Z7R
Z7X
Z7Y
Z7Z
Z83
Z88
ZMTXR
_50
~EX
AAPKM
AAYXX
ABBRH
ABDBE
ABFSG
ABRTQ
ACSTC
ADHKG
AEZWR
AFDZB
AFFHD
AFHIU
AFOHR
AGQPQ
AHPBZ
AHWEU
AIXLP
ATHPR
AYFIA
CITATION
JZLTJ
PHGZM
PHGZT
PQGLB
7XB
8AL
8FK
JQ2
L.-
PKEHL
PQEST
PQUKI
Q9U
ID FETCH-LOGICAL-c363t-1f23c4e0c07491c96f3c6e4e5f45cc0c30d354eaa83ce6ee436ea72edade6b2d3
IEDL.DBID K7-
ISICitedReferencesCount 5
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001086380500002&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 1134-3060
IngestDate Sun Nov 30 05:06:21 EST 2025
Tue Nov 18 20:49:40 EST 2025
Sat Nov 29 06:21:50 EST 2025
Fri Feb 21 02:40:41 EST 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 3
Keywords Voltage profile
Smart electricity distribution network
Radiality
Network reconfigurations
Power losses reductions
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c363t-1f23c4e0c07491c96f3c6e4e5f45cc0c30d354eaa83ce6ee436ea72edade6b2d3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ORCID 0000-0003-3476-1361
OpenAccessLink https://link.springer.com/10.1007/s11831-023-10007-0
PQID 3256682925
PQPubID 1486352
PageCount 21
ParticipantIDs proquest_journals_3256682925
crossref_citationtrail_10_1007_s11831_023_10007_0
crossref_primary_10_1007_s11831_023_10007_0
springer_journals_10_1007_s11831_023_10007_0
PublicationCentury 2000
PublicationDate 20240400
2024-04-00
20240401
PublicationDateYYYYMMDD 2024-04-01
PublicationDate_xml – month: 4
  year: 2024
  text: 20240400
PublicationDecade 2020
PublicationPlace Dordrecht
PublicationPlace_xml – name: Dordrecht
PublicationSubtitle State of the Art Reviews
PublicationTitle Archives of computational methods in engineering
PublicationTitleAbbrev Arch Computat Methods Eng
PublicationYear 2024
Publisher Springer Netherlands
Springer Nature B.V
Publisher_xml – name: Springer Netherlands
– name: Springer Nature B.V
References LotfipourAAfrakhteHA discrete teaching–learning-based optimization algorithm to solve distribution system reconfiguration in presence of distributed generationInt J Electr Power Energy Syst201682264273
LavoratoMFrancoJFRiderMJImposing radiality constraints in distribution system optimization problemsIEEE Trans Power Syst2011271172180
PriceWCasperSNwankpaCBibliography on load models for power flow and dynamic performance simulationIEEE Power Eng Rev199515270
SedighizadehMEsmailiMMahmoodiMReconfiguration of distribution systems to improve re-liability and reduce power losses using imperialist com-petitive algorithmIran J Electr Electron Eng2017133287
SoltaniSRashidinejadMAbdollahiADynamic phase balancing in the smart distribution networksInt J Electr Power Energy Syst201793374383
Gallego ParejaLALópez-LezamaJMGómez CarmonaOOptimal feeder reconfiguration and placement of voltage regulators in electrical distribution networks using a linear mathematical modelSustainability2023151854
FonsecaAGTortelliOLLourençoEMExtended fast decoupled power flow for reconfiguration networks in distribution systemsIET Gener Transm Distrib2018122260336040
WangJWangWYuanZA chaos disturbed beetle antennae search algorithm for a multiobjective distribution network reconfiguration considering the variation of load and DGIEEE Access202089739297407
SambaiahKSJayabarathiTLoss minimization techniques for optimal operation and planning of distribution systems: a review of different methodologiesInt Trans Electr Energy Syst2020302
HooshmandRSoltaniSSimultaneous optimization of phase balancing and reconfiguration in distribution networks using BF–NM algorithmInt J Electr Power Energy Syst20124117686
BalakumarSGetahunAKefaleSImprovement of the voltage profile and loss reduction in distribution network using moth flame algorithm: Wolaita Sodo, EthiopiaJ Electr Comput Eng20212021110
Otuo-AcheampongDRashedGIAkwasiAMApplication of optimal network reconfiguration for loss minimization and voltage profile enhancement of distribution system using heap-based optimizerInt Trans Electr Energy Syst202310.1155/2023/9930954
Gao Y, Shi J, Wang W et al. (2019), Dynamic distribution network reconfiguration using reinforcement learning. 2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, pp. 1–7
AmanMMJasmonGBAbu BakarAHGraph theory-based radial load flow analysis to solve the dynamic network reconfiguration problemInt Trans Electr Energy Syst2016264783808
RautUMishraSAn improved Elitist-Jaya algorithm for simultaneous network reconfiguration and DG allocation in power distribution systemsRenew Energy Focus20193092106
SavierJDasDImpact of network reconfiguration on loss allocation of radial distribution systemsIEEE Trans Power Deliv200722424732480
SuC-TLeeC-SNetwork reconfiguration of distribution systems using improved mixed-integer hybrid differential evolutionIEEE Trans Power Deliv200318310221027
WangCWuJEkanayakeJSmart electricity distribution networks2017Baco RatonCRC Press
TaylorJAHoverFSConvex models of distribution system reconfigurationIEEE Trans Power Syst201227314071413
BagheriABagheriMLorestaniAOptimal reconfiguration and DG integration in distribution networks considering switching actions costs using tabu search algorithmJ Ambient Intell Humaniz Comput20211278377856
AzizTLinZWaseemMReview on optimization methodologies in transmission network reconfiguration of power systems for grid resilienceInt Trans Electr Energy Syst2021313
KarimianfardHHaghighatHAn initial-point strategy for optimizing distribution system reconfigurationElectric Power Syst Res2019176
AbdelazizAYFathyAA novel approach based on crow search algorithm for optimal selection of conductor size in radial distribution networksEng Sci Technol Int J2017202391402
AliZMDiaaeldinIMEl-RafeiAA novel distributed generation planning algorithm via graphically-based network reconfiguration and soft open points placement using Archimedes optimization algorithmAin Shams Eng J202112219231941
AzizivahedANarimaniHNaderiEA hybrid evolutionary algorithm for secure multi-objective distribution feeder reconfigurationEnergy2017138355373
Llorens-IborraFRiquelme-SantosJRomero-RamosEMixed-integer linear programming model for solving reconfiguration problems in large-scale distribution systemsElectric Power Syst Res201288137145
NguyenTTNguyenTTNguyenNAA novel method based on coyote algorithm for simultaneous network reconfiguration and distribution generation placementAin Shams Eng J2021121665676
Simamora Y, Mulyana D, Isnaini M (2023) Optimal network reconfiguration using binary firefly algorithm in the medium voltage distribution network of Medan City. Proceedings of the 4th Annual Conference of Engineering and Implementation on Vocational Education, ACEIVE 2022, 20 October 2022, Medan, North Sumatra, Indonesia, p. 31
TuladharSRSinghJGOngsakulWMulti-objective approach for distribution network reconfiguration with optimal DG power factor using NSPSOIET Gener Transm Distrib2016101228422851
JabrRASinghRPalBCMinimum loss network reconfiguration using mixed-integer convex programmingIEEE Trans Power Syst201227211061115
El-FerganyAAAbdelazizAYCapacitor allocations in radial distribution networks using cuckoo search algorithmIET Gener Transm Distrib201482223232
RupaJMGaneshSPower flow analysis for radial distribution system using backward/forward sweep methodInt J Electr Computer Electron Commun Eng201481015401544
KalambeSAgnihotriGLoss minimization techniques used in distribution network: bibliographical surveyRenew Sustain Energy Rev201429184200
LiHMaoWZhangAAn improved distribution network reconfiguration method based on minimum spanning tree algorithm and heuristic rulesInt J Electr Power Energy Syst201682466473
KhullerSRaghavachariBYoungNBalancing minimum spanning trees and shortest-path treesAlgorithmica19951443053211343318
HemeidaMGIbrahimAAMohamedA-AAOptimal allocation of distributed generators DG based Manta Ray Foraging Optimization algorithm (MRFO)Ain Shams Eng J2021121609619
RazaviS-MMomeniH-RHaghifamM-RMulti-objective optimization of distribution networks via daily reconfigurationIEEE Trans Power Deliv2021372775785
PrasadPSivanagarajuSSreenivasuluNNetwork reconfiguration for load balancing in radial distribution systems using genetic algorithmElectric Power Compon Syst20073616372
AntenehDKhanBMahelaOPDistribution network reliability enhancement and power loss reduction by optimal network reconfigurationComput Electr Eng202196
OthmanAMEl-FerganyAAAbdelazizAYOptimal reconfiguration comprising voltage stability aspect using enhanced binary particle swarm optimization algorithmElectric Power Compon Syst2015431416561666
PratapATiwariPMauryaRA novel hybrid optimization approach for optimal allocation of distributed generation and distribution static compensator with network reconfiguration in consideration of electric vehicle charging stationElectric Power Compon Syst202310.1080/15325008.2023.2196673
SolimanMAbdelazizAYEl-HassaniRMDistribution power system reconfiguration using whale optimization algorithmInt J Appl Power Eng (IJAPE)2020914857
TomoiagăBChindrişMSumperAPareto optimal reconfiguration of power distribution systems using a genetic algorithm based on NSGA-IIEnergies20136314391455
DrazAElkholyMMEl-FerganyAAAutomated settings of overcurrent relays considering transformer phase shift and distributed generators using gorilla troops optimizerMathematics2023113774
Abdelmalak M, Gautam M, Morash S et al. (2022) Network reconfiguration for enhanced operational resilience using reinforcement learning. 2022 International Conference on Smart Energy Systems and Technologies (SEST), pp. 1–6
WangH-JPanJ-SNguyenT-TDistribution network reconfiguration with distributed generation based on parallel slime mould algorithmEnergy2022244
Gautam M, Bhusal N, Benidris M (2022) Deep Q-Learning-based distribution network reconfiguration for reliability improvement. 2022 IEEE/PES Transmission and Distribution Conference and Exposition (T&D), pp. 1–5
ZhaoBXiaoJReconfiguration of distributed power distribution networks based on gravitational search algorithmsJ Phys: Conf Ser202310.1088/1742-6596/2527/1/012071
AhmedFThe integration of distributed generators and shunt capacitor banks to minimize power loss and enhance voltage stability indexSukkur IBA J Educ Sci Technol202331125
BuiV-HSuWReal-time operation of distribution network: a deep reinforcement learning-based reconfiguration approachSustain Energy Technol Assess202250
SchmidtHPIdaNKaganNFast reconfiguration of distribution systems considering loss minimizationIEEE Trans Power Syst200520313111319
SatyanarayanaSRamanaTSivanagarajuSAn efficient load flow solution for radial distribution network including voltage dependent load modelsElectric Power Compon Syst2007355539551
YangTGuoYDengLA linear branch flow model for radial distribution networks and its application to reactive power optimization and network reconfigurationIEEE Trans Smart Grid202012320272036
SuC-TChangC-FChiouJ-PDistribution network reconfiguration for loss reduction by ant colony search algorithmElectric Power Syst Res2005752–3190199
QuintanaEIngaEOptimal reconfiguration of electrical distribution system using heuristic methods with geopositioning constraintsEnergies202215155317
Jeon Y-J, Kim J-C (2000) Network reconfiguration in radial distribution system using simulated annealing and tabu search. 2000 IEEE Power Engineering Society Winter Meeting. Conference Proceedings, pp. 2329–2333.
DrazAElkholyMMEl-FerganyAASoft computing methods for attaining the protective device coordination including renewable energies: review and prospectiveArch Comput Methods Eng202110.1007/s11831-021-09534-5
AbdelazizAYMohammedFMekhamerSDistribution systems reconfiguration using a modified particle swarm optimization algorithmElectric Power Syst Res2009791115211530
MishraSDasDPaulSA comprehensive review on power distribution network reconfigurationEnergy Syst20178227284
García-VillalobosJZamoraISan MartínJIPlug-in electric vehic
TT Nguyen (10007_CR99) 2021; 12
A Fathy (10007_CR139) 2018; 30
V-H Bui (10007_CR167) 2022; 50
E Quintana (10007_CR136) 2022; 15
S Soltani (10007_CR39) 2017; 93
AA El-Fergany (10007_CR28) 2014; 8
T Jamasb (10007_CR3) 2018; 114
AY Abdelaziz (10007_CR25) 2017; 20
B Stojanović (10007_CR47) 2023; 147
T Tran The (10007_CR197) 2020
Y Gao (10007_CR168) 2020; 11
D Shirmohammadi (10007_CR208) 1989; 4
C-T Su (10007_CR201) 2003; 18
H Li (10007_CR57) 2016; 82
H Ashraf (10007_CR92) 2022; 29
S Teimourzadeh (10007_CR106) 2014; 62
M Mahdavi (10007_CR45) 2023
M Lavorato (10007_CR86) 2011; 27
A Uniyal (10007_CR104) 2021; 192
A Bagheri (10007_CR94) 2021; 12
S Ouali (10007_CR176) 2020
10007_CR43
MM Elkholy (10007_CR53) 2018; 163
ME Baran (10007_CR74) 1989; 4
AS Reddy (10007_CR147) 2016; 16
G Zhou (10007_CR61) 1999; 114
EC Pereira (10007_CR31) 2023; 16
AM Shaheen (10007_CR121) 2022; 54
10007_CR35
O Badran (10007_CR146) 2020; 17
AM Othman (10007_CR30) 2015; 43
KS Sambaiah (10007_CR24) 2020; 30
10007_CR32
J Al-Sujada (10007_CR204) 2014; 3
MA Shaik (10007_CR111) 2022; 61
KE Antoniadou-Plytaria (10007_CR9) 2017; 8
A Draz (10007_CR13) 2023; 11
B Zhao (10007_CR117) 2023
S Chung (10007_CR14) 2023; 13
M Sedighizadeh (10007_CR127) 2016; 7
10007_CR145
M Nadarajah (10007_CR193) 2000
D Šošić (10007_CR97) 2018; 69
SH Oh (10007_CR171) 2020; 280
A Alwinstar (10007_CR153) 2019; 19
T Aziz (10007_CR55) 2021; 31
T Niknam (10007_CR135) 2009; 50
AG Fonseca (10007_CR75) 2018; 12
U Ghatak (10007_CR187) 2018; 6
FJ Ruiz-Rodriguez (10007_CR190) 2012; 6
M Mahdavi (10007_CR79) 2021; 9
AY Abdelaziz (10007_CR124) 2009; 79
A Lotfipour (10007_CR98) 2016; 82
JC Cebrian (10007_CR62) 2010; 80
H Souifi (10007_CR63) 2019; 101
MM Aman (10007_CR179) 2016; 26
C Gerez (10007_CR105) 2019; 7
SH Mirhoseini (10007_CR114) 2015; 1
10007_CR95
PR Rao (10007_CR125) 2010; 2
SAA Kazmi (10007_CR12) 2017; 10
T Yang (10007_CR84) 2020; 12
D Otuo-Acheampong (10007_CR140) 2023
R Hooshmand (10007_CR50) 2012; 41
H Shareef (10007_CR151) 2014; 58
10007_CR165
AY Abdelaziz (10007_CR93) 2010; 80
B Novoselnik (10007_CR207) 2017; 50
A El-Fergany (10007_CR194) 2015; 30
A Azizivahed (10007_CR157) 2017; 138
N Madjissembaye (10007_CR181) 2016; 3
JM Rupa (10007_CR183) 2014; 8
I Syed (10007_CR37) 2018; 54
A Draz (10007_CR54) 2021
RA Jabr (10007_CR77) 2017; 9
W Huang (10007_CR164) 2023
C Sharmeela (10007_CR161) 2023
10007_CR173
10007_CR175
S Soltani (10007_CR51) 2017; 12
OB Kundačina (10007_CR166) 2022; 104
AA El-Fergany (10007_CR16) 2017; 27
JA Taylor (10007_CR88) 2012; 27
LA Gallego Pareja (10007_CR81) 2023; 15
U Raut (10007_CR130) 2019; 30
D Carr (10007_CR22) 2022; 15
10007_CR70
S Huang (10007_CR66) 2018; 12
THB Huy (10007_CR108) 2022; 61
F Jabari (10007_CR182) 2020
D Anteneh (10007_CR144) 2021; 96
10007_CR69
MG Hemeida (10007_CR33) 2021; 12
R Pegado (10007_CR133) 2019; 169
10007_CR60
D Swaminathan (10007_CR116) 2023; 16
S Balakumar (10007_CR159) 2021; 2021
G Alonso (10007_CR118) 2022; 15
C Lee (10007_CR89) 2014; 6
I Mohamed Diaaeldin (10007_CR67) 2019; 7
A Landeros (10007_CR131) 2019; 7
M-T Nguyen Hoang (10007_CR149) 2021; 2021
W Price (10007_CR195) 1995; 15
TT Nguyen (10007_CR112) 2019; 84
AR Abul’Wafa (10007_CR177) 2012; 91
A Shaheen (10007_CR120) 2023; 75
M Cikan (10007_CR110) 2022; 61
S-M Razavi (10007_CR132) 2021; 37
M Sedighizadeh (10007_CR155) 2017; 13
S Ganguly (10007_CR196) 2020; 3
F Llorens-Iborra (10007_CR82) 2012; 88
S Khuller (10007_CR59) 1995; 14
H Ahmadi (10007_CR72) 2015; 64
S Satyanarayana (10007_CR188) 2007; 35
RA Hooshmand (10007_CR40) 2011; 27
KB Prakash (10007_CR2) 2023
J Dias Santos (10007_CR119) 2022; 15
NG Paterakis (10007_CR83) 2015; 31
C-T Su (10007_CR113) 2005; 75
S Malekshah (10007_CR169) 2022; 61
MS Mastoi (10007_CR4) 2023; 9
R Fathi (10007_CR128) 2023; 132
G Chang (10007_CR205) 1990; 5
F Ahmed (10007_CR48) 2023; 3
TT Nguyen (10007_CR100) 2023; 20
ZM Ali (10007_CR154) 2021; 12
10007_CR7
N Ali Rostami (10007_CR191) 2018; 6
S Kalambe (10007_CR36) 2014; 29
H Hong (10007_CR68) 2017; 5
Y Li (10007_CR170) 2021; 37
E Haji-Aghajani (10007_CR5) 2023; 217
A Onlam (10007_CR142) 2019; 12
J-H Teng (10007_CR185) 2003; 18
A Pratap (10007_CR46) 2023
PP Reddy (10007_CR189) 2018; 11
RA Jabr (10007_CR184) 2006; 21
MC Borges (10007_CR80) 2014; 25
M Nazari-Heris (10007_CR160) 2021
N Gholizadeh (10007_CR163) 2023; 11
MA Abdelkader (10007_CR71) 2021; 12
OD Montoya (10007_CR42) 2021; 9
H Karimianfard (10007_CR76) 2019; 176
C Wang (10007_CR1) 2017
TE McDermott (10007_CR206) 1999; 14
VA Evangelopoulos (10007_CR11) 2016; 140
A Naderipour (10007_CR109) 2022; 187
JZ Zhu (10007_CR209) 2002; 62
J Savier (10007_CR198) 2007; 22
U Raut (10007_CR137) 2023; 44
A El-maksoud (10007_CR44) 2023
S Alwash (10007_CR129) 2022; 16
H Fathabadi (10007_CR174) 2016; 78
J Zhan (10007_CR73) 2020; 11
S Sivanagaraju (10007_CR27) 2002; 63
SR Tuladhar (10007_CR148) 2016; 10
VVVSN Murty (10007_CR192) 2019; 2
B Tomoiagă (10007_CR158) 2013; 6
10007_CR18
C Wang (10007_CR91) 2020; 11
Y Takenobu (10007_CR202) 2016; 9
AA El-Fergany (10007_CR29) 2013; 7
H-J Wang (10007_CR103) 2022; 244
A Marini (10007_CR178) 2019; 170
M Mahdavi (10007_CR64) 2021; 9
M Rahimipour Behbahani (10007_CR156) 2023
L Waswa (10007_CR26) 2021; 14
10007_CR200
TT Nguyen (10007_CR143) 2017; 52
F Alonso (10007_CR101) 2014; 30
D Zhang (10007_CR199) 2007; 77
P Prasad (10007_CR96) 2007; 36
U Raut (10007_CR123) 2020; 92
A El-Fergany (10007_CR52) 2016; 44
J Wang (10007_CR126) 2020; 8
A El-Fergany (10007_CR19) 2015; 64
U Ghatak (10007_CR186) 2017; 84
J García-Villalobos (10007_CR6) 2014; 38
G Chang (10007_CR180) 2007; 22
D Emad (10007_CR8) 2020; 27
P Ushashree (10007_CR23) 2023; 128
Y Hayashi (10007_CR203) 2006; 126
ZM Ali (10007_CR58) 2020; 9
I Llanez-Caballero (10007_CR15) 2023; 16
WM Dahalan (10007_CR150) 2018
S Ali (10007_CR20) 2023; 15
X She (10007_CR38) 2013; 1
I Vlasa (10007_CR21) 2020; 20
THB Huy (10007_CR141) 2023
M Kashem (10007_CR162) 1998; 20
RA Jabr (10007_CR90) 2012; 27
E Azad-Farsani (10007_CR134) 2014; 26
S-H Lim (10007_CR172) 2020; 69
M Soliman (10007_CR102) 2020; 9
HP Schmidt (10007_CR85) 2005; 20
J Aghaei (10007_CR10) 2020; 44
N Gupta (10007_CR41) 2014; 55
10007_CR107
A Alanazi (10007_CR152) 2022; 15
M Mahdavi (10007_CR138) 2022; 10
SO Ayanlade (10007_CR49) 2023; 13
J Olamaei (10007_CR115) 2012; 14
M Mahdavi (10007_CR87) 2021; 19
G Namachivayam (10007_CR122) 2016; 44
A El-Fergany (10007_CR17) 2016; 26
H Khodr (10007_CR78) 2009; 24
SK Dash (10007_CR34) 2021; 2020
S Mishra (10007_CR65) 2017; 8
AY Abdelaziz (10007_CR56) 2013; 41
References_xml – reference: WangH-JPanJ-SNguyenT-TDistribution network reconfiguration with distributed generation based on parallel slime mould algorithmEnergy2022244
– reference: SchmidtHPIdaNKaganNFast reconfiguration of distribution systems considering loss minimizationIEEE Trans Power Syst200520313111319
– reference: Otuo-AcheampongDRashedGIAkwasiAMApplication of optimal network reconfiguration for loss minimization and voltage profile enhancement of distribution system using heap-based optimizerInt Trans Electr Energy Syst202310.1155/2023/9930954
– reference: PratapATiwariPMauryaRA novel hybrid optimization approach for optimal allocation of distributed generation and distribution static compensator with network reconfiguration in consideration of electric vehicle charging stationElectric Power Compon Syst202310.1080/15325008.2023.2196673
– reference: AghaeiJBozorgavariSAPirouziSFlexibility planning of distributed battery energy storage systems in smart distribution networksIranian J Sci Technol Trans Electr Eng20204411051121
– reference: GhatakUMukherjeeVAbdelazizAYTime-efficient load flow technique for radial distribution systems with voltage-dependent loadsInt J Energy Conv201866196207
– reference: AhmadiHMartíJRMathematical representation of radiality constraint in distribution system reconfiguration problemInt J Electr Power Energy Syst201564293299
– reference: LanderosAKozielSAbdel-FattahMFDistribution network reconfiguration using feasibility-preserving evolutionary optimizationJ Mod Power Syst Clean Energy201973589598
– reference: ShaheenAMElsayedAMEl-SehiemyRAA modified marine predators optimization algorithm for simultaneous network reconfiguration and distributed generator allocation in distribution systems under different loading conditionsEng Optim2022544687708
– reference: El-maksoudAAhmedAHasanSSimultaneous optimal network reconfiguration and allocation of four different distributed generation types in radial distribution networks using a graph theory-based MPSO algorithmInt J Intell Eng Syst202310.22266/ijies2023.0430.24
– reference: Ivanov O, Neagu B-C, Gavrilas M, et al. (2019) Phase load balancing in low voltage distribution networks using metaheuristic algorithms. 2019 International Conference on Electromechanical and Energy Systems (SIELMEN), pp. 1–6
– reference: NguyenTTNguyenTTTruongAVMulti-objective electric distribution network reconfiguration solution using runner-root algorithmAppl Soft Comput20175293108
– reference: ChungSZhangYArtificial intelligence applications in electric distribution systems: post-pandemic progress and prospectAppl Sci202313126937
– reference: HongHHuZGuoRDirected graph-based distribution network reconfiguration for operation mode adjustment and service restoration considering distributed generationJ Mod Power Syst Clean Energy201751142149
– reference: PaterakisNGMazzaASantosSFMulti-objective reconfiguration of radial distribution systems using reliability indicesIEEE Trans Power Syst201531210481062
– reference: ShaikMAMareddyPLVisaliNEnhancement of voltage profile in the distribution system by reconfiguring with DG placement using equilibrium optimizerAlex Eng J202261540814093
– reference: ShaheenAEl-SeheimyRKamelSReliability enhancement and power loss reduction in medium voltage distribution feeders using modified jellyfish optimizationAlex Eng J202375363381
– reference: Tran TheTVo NgocDTran AnhNDistribution network reconfiguration for power loss reduction and voltage profile improvement using chaotic stochastic fractal search algorithmComplexity202010.1155/2020/2353901
– reference: RautUMishraSAn improved Elitist-Jaya algorithm for simultaneous network reconfiguration and DG allocation in power distribution systemsRenew Energy Focus20193092106
– reference: WangCWuJEkanayakeJSmart electricity distribution networks2017Baco RatonCRC Press
– reference: YangTGuoYDengLA linear branch flow model for radial distribution networks and its application to reactive power optimization and network reconfigurationIEEE Trans Smart Grid202012320272036
– reference: ZhouGGenMGenetic algorithm approach on multi-criteria minimum spanning tree problemEur J Oper Res19991141141152
– reference: NaderipourAAbdullahAMarzbaliMHAn improved corona-virus herd immunity optimizer algorithm for network reconfiguration based on fuzzy multi-criteria approachExpert Syst Appl2022187
– reference: FathyAEl-AriniMEl-BaksawyOAn efficient methodology for optimal reconfiguration of electric distribution network considering reliability indices via binary particle swarm gravity search algorithmNeural Comput Appl20183028432858
– reference: SolimanMAbdelazizAYEl-HassaniRMDistribution power system reconfiguration using whale optimization algorithmInt J Appl Power Eng (IJAPE)2020914857
– reference: ŠošićDStefanovPMulti-objective optimal reconfiguration of distribution networkJ Electr Eng2018692128137
– reference: AshrafHAbdellatifSOElkholyMMComputational techniques based on artificial intelligence for extracting optimal parameters of PEMFCs: survey and insightsArch Comput Methods Eng2022296394339724486205
– reference: TengJ-HA direct approach for distribution system load flow solutionsIEEE Trans Power Deliv2003183882887
– reference: WangJWangWYuanZA chaos disturbed beetle antennae search algorithm for a multiobjective distribution network reconfiguration considering the variation of load and DGIEEE Access202089739297407
– reference: ZhangDFuZZhangLAn improved TS algorithm for loss-minimum reconfiguration in large-scale distribution systemsElectric Power Syst Res2007775–6685694
– reference: ReddyPPReddyVVManoharTGAn efficient distribution load flow method for radial distribution systems with load modelsInt J Grid Distrib Comput20181136378
– reference: GangulySMulti-objective distributed generation penetration planning with load model using particle swarm optimizationDecision Making: Appl Manag Eng2020313042
– reference: NguyenTTNguyenTTNguyenNAA novel method based on coyote algorithm for simultaneous network reconfiguration and distribution generation placementAin Shams Eng J2021121665676
– reference: WangCLeiSJuPMDP-based distribution network reconfiguration with renewable distributed generation: approximate dynamic programming approachIEEE Trans Smart Grid202011436203631
– reference: ReddyASOptimization of distribution network reconfiguration using dragonfly algorithmJ Electr Eng20161641010
– reference: AlwashSIbrahimSAbedAMDistribution system reconfiguration with soft open point for power loss reduction in distribution systems based on hybrid water cycle algorithmEnergies2022161199
– reference: AliSYongzhiMAliWPrevention and detection of electricity theft of distribution networkSustainability20231564868
– reference: SheXHuangAQBurgosRReview of solid-state transformer technologies and their application in power distribution systemsIEEE J Emerg Selected Topics Power Electron201313186198
– reference: MahdaviMSchmittKJuradoFRobust distribution network reconfiguration in the presence of distributed generation under uncertainty in demand and load variationsIEEE Trans Power Deliv202310.1109/TPWRD.2023.3277816
– reference: SuC-TChangC-FChiouJ-PDistribution network reconfiguration for loss reduction by ant colony search algorithmElectric Power Syst Res2005752–3190199
– reference: RaoPRSivanagarajuSRadial distribution network reconfiguration for loss reduction and load balancing using plant growth simulation algorithmInt J Electr Eng Inform201024266
– reference: SouifiHKahouliOHadj AbdallahHMulti-objective distribution network reconfiguration optimization problemElectr Eng20191014555
– reference: BagheriABagheriMLorestaniAOptimal reconfiguration and DG integration in distribution networks considering switching actions costs using tabu search algorithmJ Ambient Intell Humaniz Comput20211278377856
– reference: CikanMKekezogluBComparison of metaheuristic optimization techniques including Equilibrium optimizer algorithm in power distribution network reconfigurationAlex Eng J20226129911031
– reference: AzizTLinZWaseemMReview on optimization methodologies in transmission network reconfiguration of power systems for grid resilienceInt Trans Electr Energy Syst2021313
– reference: SatyanarayanaSRamanaTSivanagarajuSAn efficient load flow solution for radial distribution network including voltage dependent load modelsElectric Power Compon Syst2007355539551
– reference: Abul’WafaARA network-topology-based load flow for radial distribution networks with composite and exponential loadElectric Power Syst Res2012913743
– reference: OthmanAMEl-FerganyAAAbdelazizAYOptimal reconfiguration comprising voltage stability aspect using enhanced binary particle swarm optimization algorithmElectric Power Compon Syst2015431416561666
– reference: HooshmandRASoltaniSFuzzy optimal phase balancing of radial and meshed distribution networks using BF-PSO algorithmIEEE Trans Power Syst20112714757
– reference: HooshmandRSoltaniSSimultaneous optimization of phase balancing and reconfiguration in distribution networks using BF–NM algorithmInt J Electr Power Energy Syst20124117686
– reference: DahalanWMMokhlisHShahniaFArefiALedwichGSimultaneous network reconfiguration and sizing of distributed generationElectric distribution network planning2018SigaporeSpringer279298
– reference: LiYHaoGLiuYMany-objective distribution network reconfiguration via deep reinforcement learning assisted optimization algorithmIEEE Trans Power Deliv202137322302244
– reference: AyanladeSOJimohAOgunwoleEISimultaneous network reconfiguration and capacitor allocations using a novel dingo optimization algorithmInt J Electr Computer Eng (IJECE)202313323842395
– reference: SambaiahKSJayabarathiTLoss minimization techniques for optimal operation and planning of distribution systems: a review of different methodologiesInt Trans Electr Energy Syst2020302
– reference: El-FerganyAOptimal directional digital overcurrent relays coordination and arc-flash hazard assessments in meshed networksInt Trans Electr Energy Syst2016261134154
– reference: SuC-TLeeC-SNetwork reconfiguration of distribution systems using improved mixed-integer hybrid differential evolutionIEEE Trans Power Deliv200318310221027
– reference: GhatakUMukherjeeVAn improved load flow technique based on load current injection for modern distribution systemInt J Electr Power Energy Syst201784168181
– reference: NguyenTTNguyenTTAn improved cuckoo search algorithm for the problem of electric distribution network reconfigurationAppl Soft Comput201984
– reference: AlonsoFOliveiraDQDe SouzaAZArtificial immune systems optimization approach for multiobjective distribution system reconfigurationIEEE Trans Power Syst2014302840847
– reference: TuladharSRSinghJGOngsakulWMulti-objective approach for distribution network reconfiguration with optimal DG power factor using NSPSOIET Gener Transm Distrib2016101228422851
– reference: AbdelazizAYMohamedFMekhamerSDistribution system reconfiguration using a modified Tabu search algorithmElectric Power Syst Res2010808943953
– reference: MastoiMSZhuangSMunirHMA study of charging-dispatch strategies and vehicle-to-grid technologies for electric vehicles in distribution networksEnergy Rep2023917771806
– reference: HuangSDinavahiVFast distribution network reconfiguration with graph theoryIET Gener Transm Distrib2018121332863295
– reference: El-FerganyAAOptimal capacitor allocations using evolutionary algorithmsIET Gener Transm Distrib201376593601
– reference: El-FerganyAMulti-objective allocation of multi-type distributed generators along distribution networks using backtracking search algorithm and fuzzy expert rulesElectric Power Compon Syst2016443252267
– reference: KhullerSRaghavachariBYoungNBalancing minimum spanning trees and shortest-path treesAlgorithmica19951443053211343318
– reference: AbdelazizAYFathyAA novel approach based on crow search algorithm for optimal selection of conductor size in radial distribution networksEng Sci Technol Int J2017202391402
– reference: El-FerganyAAHasanienHMOptimized settings of directional overcurrent relays in meshed power networks using stochastic fractal search algorithmInt Trans Electrical Energy Syst20172711
– reference: Agüero JR (2012) Improving the efficiency of power distribution systems through technical and non-technical losses reduction. PES T&D 2012, pp. 1–8.
– reference: JabariFSohrabiFPourghasemPHajiabbasMPMohammadi-IvatlooBBackward-forward sweep based power flow algorithm in distribution systemsOptimization of power system problems: methods, algorithms and MATLAB codes2020ChamSpringer365382
– reference: Gautam M, Bhusal N, Benidris M, et al. (2020) A spanning tree-based genetic algorithm for distribution network reconfiguration. 2020 IEEE Industry Applications Society Annual Meeting, pp. 1–6
– reference: HemeidaMGIbrahimAAMohamedA-AAOptimal allocation of distributed generators DG based Manta Ray Foraging Optimization algorithm (MRFO)Ain Shams Eng J2021121609619
– reference: AlwinstarAJawharSJPower quality and reliability enhancement in distribution systems via optimum network reconfiguration by using star algorithmJ Electr Eng201919510
– reference: Ali RostamiNSadeghMOThe effect of load modeling on load flow results in distribution systemsAm J Electr Electron Eng2018611627
– reference: MariniAMortazaviSPiegariLAn efficient graph-based power flow algorithm for electrical distribution systems with a comprehensive modeling of distributed generationsElectric Power Syst Res2019170229243
– reference: VlasaIGligorADumitruC-DSmart metering systems optimization for non-technical losses reduction and consumption recording operation improvement in electricity sectorSensors202020102947
– reference: KalambeSAgnihotriGLoss minimization techniques used in distribution network: bibliographical surveyRenew Sustain Energy Rev201429184200
– reference: Al-SujadaJAl-RawiONovel load flow algorithm for multi-phase balanced/unbalanced radial distribution systemsInt J Adv Res Electr Electron Instrum Eng2014371092810942
– reference: Simamora Y, Mulyana D, Isnaini M (2023) Optimal network reconfiguration using binary firefly algorithm in the medium voltage distribution network of Medan City. Proceedings of the 4th Annual Conference of Engineering and Implementation on Vocational Education, ACEIVE 2022, 20 October 2022, Medan, North Sumatra, Indonesia, p. 31
– reference: LiHMaoWZhangAAn improved distribution network reconfiguration method based on minimum spanning tree algorithm and heuristic rulesInt J Electr Power Energy Syst201682466473
– reference: HuyTHBVan TranTVoDNAn improved metaheuristic method for simultaneous network reconfiguration and distributed generation allocationAlex Eng J2022611080698088
– reference: WaswaLChihotaMJBekkerBA probabilistic conductor size selection framework for active distribution networksEnergies202114196387
– reference: NovoselnikBBolfekMBoškovićMElectrical power distribution system reconfiguration: case study of a real-life grid in CroatiaIFAC-Papers OnLine20175016166
– reference: AlonsoGAlonsoRFDe SouzaACZZEnhanced artificial immune systems and fuzzy logic for active distribution systems reconfigurationEnergies202215249419
– reference: Llanez-CaballeroIIbarraLPeña-QuintalAThe “Smart” concept from an electrical sustainability viewpointEnergies20231673072
– reference: QuintanaEIngaEOptimal reconfiguration of electrical distribution system using heuristic methods with geopositioning constraintsEnergies202215155317
– reference: Nazari-HerisMAsadiSMohammadi-IvatlooBApplication of machine learning and deep learning methods to power system problems2021ChamSpringer
– reference: El-FerganyAStudy impact of various load models on DG placement and sizing using backtracking search algorithmAppl Soft Comput201530803811
– reference: JamasbTThakurTBagBSmart electricity distribution networks, business models, and application for developing countriesEnergy Policy20181142229
– reference: ShirmohammadiDHongHWReconfiguration of electric distribution networks for resistive line losses reductionIEEE Trans Power Deliv19894214921498
– reference: AmanMMJasmonGBAbu BakarAHGraph theory-based radial load flow analysis to solve the dynamic network reconfiguration problemInt Trans Electr Energy Syst2016264783808
– reference: RazaviS-MMomeniH-RHaghifamM-RMulti-objective optimization of distribution networks via daily reconfigurationIEEE Trans Power Deliv2021372775785
– reference: EvangelopoulosVAGeorgilakisPSHatziargyriouNDOptimal operation of smart distribution networks: a review of models, methods and future researchElectric Power Syst Res201614095106
– reference: SoltaniSRashidinejadMAbdollahiAStochastic multiobjective distribution systems phase balancing considering distributed energy resourcesIEEE Syst J201712328662877
– reference: AbdelkaderMAOsmanZHElshahedMANew analytical approach for simultaneous feeder reconfiguration and DG hosting allocation in radial distribution networksAin Shams Eng J202112218231837
– reference: MahdaviMAlhelouHHHesamzadehMRAn efficient stochastic reconfiguration model for distribution systems with uncertain loadsIEEE Access2022101064010652
– reference: Ntombela M, Musasa K, Leoaneka CM (2022) Review of Optimization Techniques for Power Network Reconfiguration. 2022 30th Southern African Universities Power Engineering Conference (SAUPEC), pp. 1–6
– reference: NiknamTAn efficient hybrid evolutionary algorithm based on PSO and HBMO algorithms for multi-objective distribution feeder reconfigurationEnergy Convers Manage200950820742082
– reference: ShareefHIbrahimASalmanNPower quality and reliability enhancement in distribution systems via optimum network reconfiguration by using quantum firefly algorithmInt J Electr Power Energy Syst201458160169
– reference: SedighizadehMEsmailiMMahmoodiMReconfiguration of distribution systems to improve re-liability and reduce power losses using imperialist com-petitive algorithmIran J Electr Electron Eng2017133287
– reference: BorgesMCFrancoJFRiderMJOptimal reconfiguration of electrical distribution systems using mathematical programmingJ Control Autom Electr Syst201425103111
– reference: SwaminathanDRajagopalanAMontoyaODDistribution network reconfiguration based on hybrid golden flower algorithm for smart cities evolutionEnergies20231652454
– reference: SedighizadehMBakhtiaryROptimal multi-objective reconfiguration and capacitor placement of distribution systems with the Hybrid Big Bang-Big Crunch algorithm in the fuzzy frameworkAin Shams Eng J201671113129
– reference: El-FerganyAOptimal allocation of multi-type distributed generators using backtracking search optimization algorithmInt J Electr Power Energy Syst20156411971205
– reference: SavierJDasDImpact of network reconfiguration on loss allocation of radial distribution systemsIEEE Trans Power Deliv200722424732480
– reference: Drezga I, Broadwater R, Sugg AJ (2001) Object-oriented analysis of distribution system reconfiguration for power restoration. 2001 Power Engineering Society Summer Meeting. Conference Proceedings, pp. 1215–1220
– reference: LimS-HKimT-GYoonS-GDistribution network reconfiguration to minimize power loss using deep reinforcement learningTrans Korean Inst Electr Eng202069111659
– reference: RupaJMGaneshSPower flow analysis for radial distribution system using backward/forward sweep methodInt J Electr Computer Electron Commun Eng201481015401544
– reference: JabrRASinghRPalBCMinimum loss network reconfiguration using mixed-integer convex programmingIEEE Trans Power Syst201227211061115
– reference: Gao Y, Shi J, Wang W et al. (2019), Dynamic distribution network reconfiguration using reinforcement learning. 2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, pp. 1–7
– reference: FathiRTousiBGalvaniSAllocation of renewable resources with radial distribution network reconfiguration using improved salp swarm algorithmAppl Soft Comput2023132
– reference: SharmeelaCSanjeevikumarPSivaramanPIoT, machine learning and blockchain technologies for renewable energy and modern hybrid power systems2023Boca RatonCRC Press
– reference: TomoiagăBChindrişMSumperAPareto optimal reconfiguration of power distribution systems using a genetic algorithm based on NSGA-IIEnergies20136314391455
– reference: UniyalASarangiSOptimal network reconfiguration and DG allocation using adaptive modified whale optimization algorithm considering probabilistic load flowElectric Power Syst Res2021192
– reference: Abdelmalak M, Gautam M, Morash S et al. (2022) Network reconfiguration for enhanced operational resilience using reinforcement learning. 2022 International Conference on Smart Energy Systems and Technologies (SEST), pp. 1–6
– reference: BadranOJalladJMokhlisHNetwork reconfiguration and DG output including real time optimal switching sequence for system improvementAust J Electr Electron Eng2020173157172
– reference: LotfipourAAfrakhteHA discrete teaching–learning-based optimization algorithm to solve distribution system reconfiguration in presence of distributed generationInt J Electr Power Energy Syst201682264273
– reference: Aldebawy S, Draz A, El-Fergany A (2022) Harmonics Mitigation Using Passive Filters in Distribution Networks Penetrated with Photovoltaic power. 2022 23rd International Middle East Power Systems Conference (MEPCON), pp. 1–5
– reference: Antoniadou-PlytariaKEKouveliotis-LysikatosINGeorgilakisPSDistributed and decentralized voltage control of smart distribution networks: models, methods, and future researchIEEE Trans Smart Grid20178629993008
– reference: EmadDEl-HameedMYousefMComputational methods for optimal planning of hybrid renewable microgrids: a comprehensive review and challengesArchiv Comput Methods Eng202027129713194138457
– reference: Haji-AghajaniEHasanzadehSHeydarian-ForushaniEA novel framework for planning of EV parking lots in distribution networks with high PV penetrationElectric Power Syst Res2023217
– reference: KazmiSAAShahzadMKKhanAZSmart distribution networks: a review of modern distribution concepts from a planning perspectiveEnergies2017104501
– reference: El-FerganyAAAbdelazizAYCapacitor allocations in radial distribution networks using cuckoo search algorithmIET Gener Transm Distrib201482223232
– reference: ZhanJLiuWChungCSwitch opening and exchange method for stochastic distribution network reconfigurationIEEE Trans Smart Grid202011429953007
– reference: SoltaniSRashidinejadMAbdollahiADynamic phase balancing in the smart distribution networksInt J Electr Power Energy Syst201793374383
– reference: UshashreePKumarKSPower system reconfiguration in distribution system for loss minimization using optimization techniques: a reviewWireless Pers Commun2023128319071940
– reference: Gautam M, Bhusal N, Benidris M (2022) Deep Q-Learning-based distribution network reconfiguration for reliability improvement. 2022 IEEE/PES Transmission and Distribution Conference and Exposition (T&D), pp. 1–5
– reference: OnlamAYodphetDChatthawornRPower loss minimization and voltage stability improvement in electrical distribution system via network reconfiguration and distributed generation placement using novel adaptive shuffled frogs leaping algorithmEnergies2019123553
– reference: OhSHYoonYTKimSWOnline reconfiguration scheme of self-sufficient distribution network based on a reinforcement learning approachAppl Energy2020280
– reference: Azad-FarsaniEZareMAzizipanah-AbarghooeeRA new hybrid CPSO-TLBO optimization algorithm for distribution network reconfigurationJ Intell Fuzzy Syst201426521752184
– reference: Nguyen HoangM-TTruongB-HHoangKTA quasioppositional-chaotic symbiotic organisms search algorithm for distribution network reconfiguration with distributed generationsMath Prob Eng20212021113
– reference: MahdaviMAlhelouHHHatziargyriouNDReconfiguration of electric power distribution systems: comprehensive review and classificationIEEE Access20219118502118527
– reference: MirhoseiniSHHosseiniSMGhanbariMMulti-objective reconfiguration of distribution network using a heuristic modified ant colony optimization algorithmModel Simulation Electr Electron Eng2015112333
– reference: ZhuJZOptimal reconfiguration of electrical distribution network using the refined genetic algorithmElectric Power Syst Res20026213742
– reference: StojanovićBRajićTŠošićDDistribution network reconfiguration and reactive power compensation using a hybrid simulated annealing-minimum spanning tree algorithmInt J Electr Power Energy Syst2023147
– reference: GerezCSilvaLIBelatiEADistribution network reconfiguration using selective firefly algorithm and a load flow analysis criterion for reducing the search spaceIEEE Access201976787467888
– reference: OualiSCherkaouiAAn improved backward/forward sweep power flow method based on a new network information organization for radial distribution systemsJ Electr Computer Eng202010.1155/2020/5643410
– reference: AzizivahedANarimaniHNaderiEA hybrid evolutionary algorithm for secure multi-objective distribution feeder reconfigurationEnergy2017138355373
– reference: DashSKMishraSPatiLROptimal allocation of distributed generators using metaheuristic algorithms—an up-to-date bibliographic reviewGreen Technol Smart City Soc: Proc GTSCS20212020553561
– reference: Mantovani JR, Casari F, Romero RA (2000) Reconfiguração de sistemas de distribuição radiais utilizando o critério de queda de tensão,” Controle and Automacao, pp. 150–159
– reference: FonsecaAGTortelliOLLourençoEMExtended fast decoupled power flow for reconfiguration networks in distribution systemsIET Gener Transm Distrib2018122260336040
– reference: SyedIKhadkikarVZeineldinHHLoss reduction in radial distribution networks using a solid-state transformerIEEE Trans Ind Appl201854554745482
– reference: KashemMJasmonGMohamedAArtificial neural network approach to network reconfiguration for loss minimization in distribution networksInt J Electr Power Energy Syst1998204247258
– reference: Mohamed DiaaeldinIAbdel AleemSHEl-RafeiAA novel graphically-based network reconfiguration for power loss minimization in large distribution systemsMathematics20197121182
– reference: PrasadPSivanagarajuSSreenivasuluNNetwork reconfiguration for load balancing in radial distribution systems using genetic algorithmElectric Power Compon Syst20073616372
– reference: FathabadiHPower distribution network reconfiguration for power loss minimization using novel dynamic fuzzy c-means (dFCM) clustering based ANN approachInt J Electr Power Energy Syst20167896107
– reference: AliZMDiaaeldinIMAbdel AleemSHEScenario-based network reconfiguration and renewable energy resources integration in large-scale distribution systems considering parameters uncertaintyMathematics202091264036270
– reference: AntenehDKhanBMahelaOPDistribution network reliability enhancement and power loss reduction by optimal network reconfigurationComput Electr Eng202196
– reference: DrazAElkholyMMEl-FerganyAAAutomated settings of overcurrent relays considering transformer phase shift and distributed generators using gorilla troops optimizerMathematics2023113774
– reference: MontoyaODMolina-CabreraAGrisales-NoreñaLFImproved genetic algorithm for phase-balancing in three-phase distribution networks: a master-slave optimization approachComputation20219667
– reference: LavoratoMFrancoJFRiderMJImposing radiality constraints in distribution system optimization problemsIEEE Trans Power Syst2011271172180
– reference: Llorens-IborraFRiquelme-SantosJRomero-RamosEMixed-integer linear programming model for solving reconfiguration problems in large-scale distribution systemsElectric Power Syst Res201288137145
– reference: NadarajahMSalamaMDistribution system voltage regulation and var compensation for different static load modelsInt J Electr Eng Educ200010.7227/IJEEE.37.4.8
– reference: OlamaeiJNiknamTArefiSBDistribution feeder reconfiguration for loss minimization based on modified honey bee mating optimization algorithmEnergy Procedia201214304311
– reference: KarimianfardHHaghighatHAn initial-point strategy for optimizing distribution system reconfigurationElectric Power Syst Res2019176
– reference: NamachivayamGSankaralingamCPerumalSKReconfiguration and capacitor placement of radial distribution systems by modified flower pollination algorithmElectric Power Compon Syst2016441314921502
– reference: CarrDThomsonMNon-technical electricity lossesEnergies20221562218
– reference: KhodrHMartinez-CrespoJMatosMDistribution systems reconfiguration based on OPF using benders decompositionIEEE Trans Power Deliv200924421662176
– reference: HayashiYKawasakiSMatsukiJEstablishment of a standard analytical model of distribution network with distributed generators and development of multi evaluation method for network configuration candidatesIEEJ Trans Power Energy20061261010131022+6
– reference: KundačinaOBVidovićPMPetkovićMRSolving dynamic distribution network reconfiguration using deep reinforcement learningElectr Eng202210414871501
– reference: PrakashKBPadmanabanSMitoloMSmart and power grid systems-design challenges and paradigms2023New YorkRiver Publishers
– reference: MadjissembayeNMuriithiCMWekesaCLoad flow analysis for radial distribution networks using backward/forward sweep methodJ Sustain Res Eng2016338287
– reference: Rahimipour BehbahaniMJalilianAReconfiguration of harmonic polluted distribution network using modified discrete particle swarm optimization equipped with smart radial methodIET Gen Trans Distrib202310.1049/gtd2.12869
– reference: AbdelazizAYOsamaRAElkhodarySMDistribution systems reconfiguration using ant colony optimization and harmony search algorithmsElectric Power Compon Syst2013415537554
– reference: MahdaviMAlhelouHHHatziargyriouNDAn efficient mathematical model for distribution system reconfiguration using AMPLIEEE Access202197996179993
– reference: GaoYWangWShiJBatch-constrained reinforcement learning for dynamic distribution network reconfigurationIEEE Trans Smart Grid202011653575369
– reference: DrazAElkholyMMEl-FerganyAASoft computing methods for attaining the protective device coordination including renewable energies: review and prospectiveArch Comput Methods Eng202110.1007/s11831-021-09534-5
– reference: MahdaviMRomeroRReconfiguration of radial distribution systems: an efficient mathematical modelIEEE Lat Am Trans202119711721181
– reference: GholizadehNKazemiNMusilekPA comparative study of reinforcement learning algorithms for distribution network reconfiguration with deep Q-learning-based action samplingIEEE Access2023111371413723
– reference: JabrRARadial distribution load flow using conic programmingIEEE Trans Power Syst200621314581459446637
– reference: Ruiz-RodriguezFJHernandezJJuradoFProbabilistic load flow for radial distribution networks with photovoltaic generatorsIET Renew Power Gener201262110121
– reference: JUMA SA (2018) Optimal radial distribution network reconfiguration using modified shark smell optimization, JKUAT-PAUSTI
– reference: ChangGZridaJBirdwellJDKnowledge-based distribution system analysis and reconfigurationIEEE Trans Power Syst199053744749
– reference: BaranMEWuFFNetwork reconfiguration in distribution systems for loss reduction and load balancingIEEE Trans Power Deliv19894214011407
– reference: AlanaziAAlanaziMArtificial electric field algorithm-pattern search for many-criteria networks reconfiguration considering power quality and energy not suppliedEnergies202215145269
– reference: MalekshahSRasouliAMalekshahYReliability-driven distribution power network dynamic reconfiguration in presence of distributed generation by the deep reinforcement learning methodAlex Eng J202261865416556
– reference: ChangGChuSWangHAn improved backward/forward sweep load flow algorithm for radial distribution systemsIEEE Trans Power Syst2007222882884
– reference: Deschamps P, Toravel Y, Swaminathan B, et al. (2017) Reduction of technical and non-technical losses in distribution networks. CIRED Working Group on Losses Reduction, Grenoble, France, Tech. Report: WG CC-2015–2
– reference: HuyTHBEnhancing distribution system performance via distributed generation placement and reconfiguration based on improved symbiotic organisms searchJ Control Sci Eng202310.1155/2023/6081991
– reference: Gallego ParejaLALópez-LezamaJMGómez CarmonaOOptimal feeder reconfiguration and placement of voltage regulators in electrical distribution networks using a linear mathematical modelSustainability2023151854
– reference: JabrRADžafićIHuseinagićIReal time optimal reconfiguration of multiphase active distribution networksIEEE Trans Smart Grid20179668296839
– reference: RautUMishraSAn improved equilibrium optimiser-based algorithm for dynamic network reconfiguration and renewable DG allocation under time-varying load and generationInt J Ambient Energy2023441280304
– reference: García-VillalobosJZamoraISan MartínJIPlug-in electric vehicles in electric distribution networks: a review of smart charging approachesRenew Sustain Energy Rev201438717731
– reference: LeeCLiuCMehrotraSRobust distribution network reconfigurationIEEE Trans Smart Grid201462836842
– reference: Freitas KB, Toledo CF, Delbem AC (2016) Optimal reconfiguration of electric power distribution systems using exact approach. 2016 12th IEEE International Conference on Industry Applications (INDUSCON), pp. 1–8
– reference: AliZMDiaaeldinIMEl-RafeiAA novel distributed generation planning algorithm via graphically-based network reconfiguration and soft open points placement using Archimedes optimization algorithmAin Shams Eng J202112219231941
– reference: McDermottTEDrezgaIBroadwaterRPA heuristic nonlinear constructive method for distribution system reconfigurationIEEE Trans Power Syst1999142478483
– reference: PegadoRÑaupariZMolinaYRadial distribution network reconfiguration for power losses reduction based on improved selective BPSOElectric Power Syst Res2019169206213
– reference: TaylorJAHoverFSConvex models of distribution system reconfigurationIEEE Trans Power Syst201227314071413
– reference: CebrianJCKaganNReconfiguration of distribution networks to minimize loss and disruption costs using genetic algorithmsElectric Power Syst Res20108015362
– reference: HuangWZhaoCDeep-learning-aided voltage-stability-enhancing stochastic distribution network reconfigurationIEEE Trans Power Syst202310.1109/TPWRS.2023.3286406
– reference: TeimourzadehSZareKApplication of binary group search optimization to distribution network reconfigurationInt J Electr Power Energy Syst201462461468
– reference: PriceWCasperSNwankpaCBibliography on load models for power flow and dynamic performance simulationIEEE Power Eng Rev199515270
– reference: AbdelazizAYMohammedFMekhamerSDistribution systems reconfiguration using a modified particle swarm optimization algorithmElectric Power Syst Res2009791115211530
– reference: TakenobuYYasudaNKawanoSEvaluation of annual energy loss reduction based on reconfiguration schedulingIEEE Trans Smart Grid20169319861996
– reference: AhmedFThe integration of distributed generators and shunt capacitor banks to minimize power loss and enhance voltage stability indexSukkur IBA J Educ Sci Technol202331125
– reference: SivanagarajuSSreenivasuluNVijayakumarMOptimal conductor selection for radial distribution systemsElectric Power Syst Res200263295103
– reference: ElkholyMMEl-HameedMEl-FerganyAHarmonic analysis of hybrid renewable microgrids comprising optimal design of passive filters and uncertaintiesElectric Power Syst Res2018163491501
– reference: PereiraECBarbosaCHVasconcelosJADistribution network reconfiguration using iterative branch exchange and clustering techniqueEnergies20231652395
– reference: GuptaNSwarnkarANiaziKA novel method for simultaneous phase balancing and mitigation of neutral current harmonics in secondary distribution systemsInt J Electr Power Energy Syst201455645656
– reference: ZhaoBXiaoJReconfiguration of distributed power distribution networks based on gravitational search algorithmsJ Phys: Conf Ser202310.1088/1742-6596/2527/1/012071
– reference: MurtyVVVSNKumarAOptimal DG integration and network reconfiguration in microgrid system with realistic time varying load model using hybrid optimisationIET Smart Grid201922192202
– reference: Dias SantosJMarquesFGarcés NegreteLPA novel solution method for the distribution network reconfiguration problem based on a search mechanism enhancement of the improved harmony search algorithmEnergies20221562083
– reference: RautUMishraSAn improved sine–cosine algorithm for simultaneous network reconfiguration and DG allocation in power distribution systemsAppl Soft Comput202092
– reference: Jeon Y-J, Kim J-C (2000) Network reconfiguration in radial distribution system using simulated annealing and tabu search. 2000 IEEE Power Engineering Society Winter Meeting. Conference Proceedings, pp. 2329–2333.
– reference: BuiV-HSuWReal-time operation of distribution network: a deep reinforcement learning-based reconfiguration approachSustain Energy Technol Assess202250
– reference: BalakumarSGetahunAKefaleSImprovement of the voltage profile and loss reduction in distribution network using moth flame algorithm: Wolaita Sodo, EthiopiaJ Electr Comput Eng20212021110
– reference: NguyenTTNguyenTTPower loss minimization by optimal placement of distributed generation considering the distribution network configuration based on artificial ecosystem optimizationAdv Electr Electron Eng2023204418431
– reference: MishraSDasDPaulSA comprehensive review on power distribution network reconfigurationEnergy Syst20178227284
– volume: 6
  start-page: 836
  issue: 2
  year: 2014
  ident: 10007_CR89
  publication-title: IEEE Trans Smart Grid
  doi: 10.1109/TSG.2014.2375160
– volume: 13
  start-page: 287
  issue: 3
  year: 2017
  ident: 10007_CR155
  publication-title: Iran J Electr Electron Eng
– volume: 78
  start-page: 96
  year: 2016
  ident: 10007_CR174
  publication-title: Int J Electr Power Energy Syst
  doi: 10.1016/j.ijepes.2015.11.077
– volume: 187
  year: 2022
  ident: 10007_CR109
  publication-title: Expert Syst Appl
– volume: 1
  start-page: 23
  issue: 1
  year: 2015
  ident: 10007_CR114
  publication-title: Model Simulation Electr Electron Eng
– ident: 10007_CR107
  doi: 10.4108/eai.20-10-2022.2329060
– year: 2023
  ident: 10007_CR117
  publication-title: J Phys: Conf Ser
  doi: 10.1088/1742-6596/2527/1/012071
– volume: 11
  start-page: 5357
  issue: 6
  year: 2020
  ident: 10007_CR168
  publication-title: IEEE Trans Smart Grid
  doi: 10.1109/TSG.2020.3005270
– volume: 61
  start-page: 991
  issue: 2
  year: 2022
  ident: 10007_CR110
  publication-title: Alex Eng J
  doi: 10.1016/j.aej.2021.06.079
– volume: 26
  start-page: 2175
  issue: 5
  year: 2014
  ident: 10007_CR134
  publication-title: J Intell Fuzzy Syst
  doi: 10.3233/IFS-130892
– volume: 69
  start-page: 128
  issue: 2
  year: 2018
  ident: 10007_CR97
  publication-title: J Electr Eng
– volume: 15
  start-page: 4868
  issue: 6
  year: 2023
  ident: 10007_CR20
  publication-title: Sustainability
  doi: 10.3390/su15064868
– volume: 12
  start-page: 553
  issue: 3
  year: 2019
  ident: 10007_CR142
  publication-title: Energies
  doi: 10.3390/en12030553
– volume: 54
  start-page: 687
  issue: 4
  year: 2022
  ident: 10007_CR121
  publication-title: Eng Optim
  doi: 10.1080/0305215X.2021.1897799
– volume: 11
  start-page: 774
  issue: 3
  year: 2023
  ident: 10007_CR13
  publication-title: Mathematics
  doi: 10.3390/math11030774
– volume-title: Smart electricity distribution networks
  year: 2017
  ident: 10007_CR1
  doi: 10.1201/9781315373324
– volume: 41
  start-page: 537
  issue: 5
  year: 2013
  ident: 10007_CR56
  publication-title: Electric Power Compon Syst
  doi: 10.1080/15325008.2012.755232
– volume: 24
  start-page: 2166
  issue: 4
  year: 2009
  ident: 10007_CR78
  publication-title: IEEE Trans Power Deliv
  doi: 10.1109/TPWRD.2009.2027510
– volume: 44
  start-page: 280
  issue: 1
  year: 2023
  ident: 10007_CR137
  publication-title: Int J Ambient Energy
  doi: 10.1080/01430750.2022.2127886
– volume: 176
  year: 2019
  ident: 10007_CR76
  publication-title: Electric Power Syst Res
  doi: 10.1016/j.epsr.2019.105943
– volume: 27
  issue: 11
  year: 2017
  ident: 10007_CR16
  publication-title: Int Trans Electrical Energy Syst
– volume: 18
  start-page: 1022
  issue: 3
  year: 2003
  ident: 10007_CR201
  publication-title: IEEE Trans Power Deliv
  doi: 10.1109/TPWRD.2003.813641
– volume: 77
  start-page: 685
  issue: 5–6
  year: 2007
  ident: 10007_CR199
  publication-title: Electric Power Syst Res
  doi: 10.1016/j.epsr.2006.06.005
– year: 2023
  ident: 10007_CR140
  publication-title: Int Trans Electr Energy Syst
  doi: 10.1155/2023/9930954
– volume: 10
  start-page: 2842
  issue: 12
  year: 2016
  ident: 10007_CR148
  publication-title: IET Gener Transm Distrib
  doi: 10.1049/iet-gtd.2015.0587
– volume: 138
  start-page: 355
  year: 2017
  ident: 10007_CR157
  publication-title: Energy
  doi: 10.1016/j.energy.2017.07.102
– volume: 27
  start-page: 1106
  issue: 2
  year: 2012
  ident: 10007_CR90
  publication-title: IEEE Trans Power Syst
  doi: 10.1109/TPWRS.2011.2180406
– ident: 10007_CR173
  doi: 10.1109/SEST53650.2022.9898469
– volume: 128
  start-page: 1907
  issue: 3
  year: 2023
  ident: 10007_CR23
  publication-title: Wireless Pers Commun
  doi: 10.1007/s11277-022-10026-3
– volume: 170
  start-page: 229
  year: 2019
  ident: 10007_CR178
  publication-title: Electric Power Syst Res
  doi: 10.1016/j.epsr.2018.12.026
– volume: 10
  start-page: 10640
  year: 2022
  ident: 10007_CR138
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2022.3144665
– volume: 14
  start-page: 6387
  issue: 19
  year: 2021
  ident: 10007_CR26
  publication-title: Energies
  doi: 10.3390/en14196387
– ident: 10007_CR43
  doi: 10.1109/SIELMEN.2019.8905900
– volume: 9
  start-page: 1986
  issue: 3
  year: 2016
  ident: 10007_CR202
  publication-title: IEEE Trans Smart Grid
  doi: 10.1109/TSG.2016.2604922
– ident: 10007_CR35
– volume: 82
  start-page: 264
  year: 2016
  ident: 10007_CR98
  publication-title: Int J Electr Power Energy Syst
  doi: 10.1016/j.ijepes.2016.03.009
– volume: 30
  start-page: 2843
  year: 2018
  ident: 10007_CR139
  publication-title: Neural Comput Appl
  doi: 10.1007/s00521-017-2877-z
– volume: 69
  start-page: 1659
  issue: 11
  year: 2020
  ident: 10007_CR172
  publication-title: Trans Korean Inst Electr Eng
  doi: 10.5370/KIEE.2020.69.11.1659
– volume: 37
  start-page: 2230
  issue: 3
  year: 2021
  ident: 10007_CR170
  publication-title: IEEE Trans Power Deliv
  doi: 10.1109/TPWRD.2021.3107534
– volume: 54
  start-page: 5474
  issue: 5
  year: 2018
  ident: 10007_CR37
  publication-title: IEEE Trans Ind Appl
  doi: 10.1109/TIA.2018.2840533
– volume: 12
  start-page: 1923
  issue: 2
  year: 2021
  ident: 10007_CR154
  publication-title: Ain Shams Eng J
  doi: 10.1016/j.asej.2020.12.006
– ident: 10007_CR70
  doi: 10.1109/PESS.2001.970238
– volume: 244
  year: 2022
  ident: 10007_CR103
  publication-title: Energy
– volume: 6
  start-page: 16
  issue: 1
  year: 2018
  ident: 10007_CR191
  publication-title: Am J Electr Electron Eng
– volume: 163
  start-page: 491
  year: 2018
  ident: 10007_CR53
  publication-title: Electric Power Syst Res
  doi: 10.1016/j.epsr.2018.07.023
– ident: 10007_CR60
  doi: 10.1109/IAS44978.2020.9334819
– volume: 75
  start-page: 363
  year: 2023
  ident: 10007_CR120
  publication-title: Alex Eng J
  doi: 10.1016/j.aej.2023.05.084
– volume: 93
  start-page: 374
  year: 2017
  ident: 10007_CR39
  publication-title: Int J Electr Power Energy Syst
  doi: 10.1016/j.ijepes.2017.06.016
– volume: 29
  start-page: 184
  year: 2014
  ident: 10007_CR36
  publication-title: Renew Sustain Energy Rev
  doi: 10.1016/j.rser.2013.08.075
– volume: 64
  start-page: 1197
  year: 2015
  ident: 10007_CR19
  publication-title: Int J Electr Power Energy Syst
  doi: 10.1016/j.ijepes.2014.09.020
– volume: 38
  start-page: 717
  year: 2014
  ident: 10007_CR6
  publication-title: Renew Sustain Energy Rev
  doi: 10.1016/j.rser.2014.07.040
– volume: 15
  start-page: 9419
  issue: 24
  year: 2022
  ident: 10007_CR118
  publication-title: Energies
  doi: 10.3390/en15249419
– volume: 31
  issue: 3
  year: 2021
  ident: 10007_CR55
  publication-title: Int Trans Electr Energy Syst
  doi: 10.1002/2050-7038.12704
– volume: 4
  start-page: 1401
  issue: 2
  year: 1989
  ident: 10007_CR74
  publication-title: IEEE Trans Power Deliv
  doi: 10.1109/61.25627
– volume: 10
  start-page: 501
  issue: 4
  year: 2017
  ident: 10007_CR12
  publication-title: Energies
  doi: 10.3390/en10040501
– volume: 9
  start-page: 26
  issue: 1
  year: 2020
  ident: 10007_CR58
  publication-title: Mathematics
  doi: 10.3390/math9010026
– volume: 18
  start-page: 882
  issue: 3
  year: 2003
  ident: 10007_CR185
  publication-title: IEEE Trans Power Deliv
  doi: 10.1109/TPWRD.2003.813818
– volume: 192
  year: 2021
  ident: 10007_CR104
  publication-title: Electric Power Syst Res
  doi: 10.1016/j.epsr.2020.106909
– year: 2020
  ident: 10007_CR197
  publication-title: Complexity
  doi: 10.1155/2020/2353901
– year: 2023
  ident: 10007_CR156
  publication-title: IET Gen Trans Distrib
  doi: 10.1049/gtd2.12869
– volume: 16
  start-page: 199
  issue: 1
  year: 2022
  ident: 10007_CR129
  publication-title: Energies
  doi: 10.3390/en16010199
– volume: 58
  start-page: 160
  year: 2014
  ident: 10007_CR151
  publication-title: Int J Electr Power Energy Syst
  doi: 10.1016/j.ijepes.2014.01.013
– volume: 80
  start-page: 53
  issue: 1
  year: 2010
  ident: 10007_CR62
  publication-title: Electric Power Syst Res
  doi: 10.1016/j.epsr.2009.08.005
– volume: 41
  start-page: 76
  issue: 1
  year: 2012
  ident: 10007_CR50
  publication-title: Int J Electr Power Energy Syst
  doi: 10.1016/j.ijepes.2012.03.010
– volume: 88
  start-page: 137
  year: 2012
  ident: 10007_CR82
  publication-title: Electric Power Syst Res
  doi: 10.1016/j.epsr.2012.01.014
– volume: 55
  start-page: 645
  year: 2014
  ident: 10007_CR41
  publication-title: Int J Electr Power Energy Syst
  doi: 10.1016/j.ijepes.2013.10.014
– volume: 96
  year: 2021
  ident: 10007_CR144
  publication-title: Comput Electr Eng
  doi: 10.1016/j.compeleceng.2021.107518
– ident: 10007_CR165
  doi: 10.1109/TD43745.2022.9817000
– volume: 29
  start-page: 3943
  issue: 6
  year: 2022
  ident: 10007_CR92
  publication-title: Arch Comput Methods Eng
  doi: 10.1007/s11831-022-09721-y
– volume: 13
  start-page: 2384
  issue: 3
  year: 2023
  ident: 10007_CR49
  publication-title: Int J Electr Computer Eng (IJECE)
  doi: 10.11591/ijece.v13i3.pp2384-2395
– volume: 169
  start-page: 206
  year: 2019
  ident: 10007_CR133
  publication-title: Electric Power Syst Res
  doi: 10.1016/j.epsr.2018.12.030
– volume: 84
  year: 2019
  ident: 10007_CR112
  publication-title: Appl Soft Comput
  doi: 10.1016/j.asoc.2019.105720
– volume: 132
  year: 2023
  ident: 10007_CR128
  publication-title: Appl Soft Comput
  doi: 10.1016/j.asoc.2022.109828
– volume: 2021
  start-page: 1
  year: 2021
  ident: 10007_CR159
  publication-title: J Electr Comput Eng
  doi: 10.1155/2021/9987304
– start-page: 279
  volume-title: Electric distribution network planning
  year: 2018
  ident: 10007_CR150
  doi: 10.1007/978-981-10-7056-3_10
– volume: 15
  start-page: 854
  issue: 1
  year: 2023
  ident: 10007_CR81
  publication-title: Sustainability
  doi: 10.3390/su15010854
– volume: 15
  start-page: 2218
  issue: 6
  year: 2022
  ident: 10007_CR22
  publication-title: Energies
  doi: 10.3390/en15062218
– volume: 36
  start-page: 63
  issue: 1
  year: 2007
  ident: 10007_CR96
  publication-title: Electric Power Compon Syst
  doi: 10.1080/15325000701473783
– volume: 82
  start-page: 466
  year: 2016
  ident: 10007_CR57
  publication-title: Int J Electr Power Energy Syst
  doi: 10.1016/j.ijepes.2016.04.017
– volume: 20
  start-page: 418
  issue: 4
  year: 2023
  ident: 10007_CR100
  publication-title: Adv Electr Electron Eng
– volume: 114
  start-page: 141
  issue: 1
  year: 1999
  ident: 10007_CR61
  publication-title: Eur J Oper Res
  doi: 10.1016/S0377-2217(98)00016-2
– volume: 62
  start-page: 37
  issue: 1
  year: 2002
  ident: 10007_CR209
  publication-title: Electric Power Syst Res
  doi: 10.1016/S0378-7796(02)00041-X
– volume: 52
  start-page: 93
  year: 2017
  ident: 10007_CR143
  publication-title: Appl Soft Comput
  doi: 10.1016/j.asoc.2016.12.018
– volume: 9
  start-page: 48
  issue: 1
  year: 2020
  ident: 10007_CR102
  publication-title: Int J Appl Power Eng (IJAPE)
  doi: 10.11591/ijape.v9.i1.pp48-57
– volume: 9
  start-page: 1777
  year: 2023
  ident: 10007_CR4
  publication-title: Energy Rep
  doi: 10.1016/j.egyr.2022.12.139
– volume: 6
  start-page: 1439
  issue: 3
  year: 2013
  ident: 10007_CR158
  publication-title: Energies
  doi: 10.3390/en6031439
– volume: 20
  start-page: 2947
  issue: 10
  year: 2020
  ident: 10007_CR21
  publication-title: Sensors
  doi: 10.3390/s20102947
– volume: 27
  start-page: 1297
  year: 2020
  ident: 10007_CR8
  publication-title: Archiv Comput Methods Eng
  doi: 10.1007/s11831-019-09353-9
– volume: 12
  start-page: 665
  issue: 1
  year: 2021
  ident: 10007_CR99
  publication-title: Ain Shams Eng J
  doi: 10.1016/j.asej.2020.06.005
– volume: 6
  start-page: 110
  issue: 2
  year: 2012
  ident: 10007_CR190
  publication-title: IET Renew Power Gener
  doi: 10.1049/iet-rpg.2010.0180
– volume: 217
  year: 2023
  ident: 10007_CR5
  publication-title: Electric Power Syst Res
  doi: 10.1016/j.epsr.2023.109156
– volume: 21
  start-page: 1458
  issue: 3
  year: 2006
  ident: 10007_CR184
  publication-title: IEEE Trans Power Syst
  doi: 10.1109/TPWRS.2006.879234
– volume: 280
  year: 2020
  ident: 10007_CR171
  publication-title: Appl Energy
– volume: 27
  start-page: 1407
  issue: 3
  year: 2012
  ident: 10007_CR88
  publication-title: IEEE Trans Power Syst
  doi: 10.1109/TPWRS.2012.2184307
– volume: 16
  start-page: 2454
  issue: 5
  year: 2023
  ident: 10007_CR116
  publication-title: Energies
  doi: 10.3390/en16052454
– year: 2023
  ident: 10007_CR44
  publication-title: Int J Intell Eng Syst
  doi: 10.22266/ijies2023.0430.24
– volume: 17
  start-page: 157
  issue: 3
  year: 2020
  ident: 10007_CR146
  publication-title: Aust J Electr Electron Eng
  doi: 10.1080/1448837X.2020.1800556
– volume: 3
  start-page: 10928
  issue: 7
  year: 2014
  ident: 10007_CR204
  publication-title: Int J Adv Res Electr Electron Instrum Eng
– volume: 19
  start-page: 1172
  issue: 7
  year: 2021
  ident: 10007_CR87
  publication-title: IEEE Lat Am Trans
  doi: 10.1109/TLA.2021.9461846
– volume: 22
  start-page: 2473
  issue: 4
  year: 2007
  ident: 10007_CR198
  publication-title: IEEE Trans Power Deliv
  doi: 10.1109/TPWRD.2007.905370
– volume: 27
  start-page: 172
  issue: 1
  year: 2011
  ident: 10007_CR86
  publication-title: IEEE Trans Power Syst
  doi: 10.1109/TPWRS.2011.2161349
– volume: 35
  start-page: 539
  issue: 5
  year: 2007
  ident: 10007_CR188
  publication-title: Electric Power Compon Syst
  doi: 10.1080/15325000601078179
– volume: 43
  start-page: 1656
  issue: 14
  year: 2015
  ident: 10007_CR30
  publication-title: Electric Power Compon Syst
  doi: 10.1080/15325008.2015.1041623
– volume: 114
  start-page: 22
  year: 2018
  ident: 10007_CR3
  publication-title: Energy Policy
  doi: 10.1016/j.enpol.2017.11.068
– volume: 14
  start-page: 304
  year: 2012
  ident: 10007_CR115
  publication-title: Energy Procedia
  doi: 10.1016/j.egypro.2011.12.934
– volume: 147
  year: 2023
  ident: 10007_CR47
  publication-title: Int J Electr Power Energy Syst
  doi: 10.1016/j.ijepes.2022.108829
– volume: 64
  start-page: 293
  year: 2015
  ident: 10007_CR72
  publication-title: Int J Electr Power Energy Syst
  doi: 10.1016/j.ijepes.2014.06.076
– volume: 11
  start-page: 3620
  issue: 4
  year: 2020
  ident: 10007_CR91
  publication-title: IEEE Trans Smart Grid
  doi: 10.1109/TSG.2019.2963696
– volume: 3
  start-page: 30
  issue: 1
  year: 2020
  ident: 10007_CR196
  publication-title: Decision Making: Appl Manag Eng
– volume: 31
  start-page: 1048
  issue: 2
  year: 2015
  ident: 10007_CR83
  publication-title: IEEE Trans Power Syst
  doi: 10.1109/TPWRS.2015.2425801
– volume: 126
  start-page: 1013
  issue: 10
  year: 2006
  ident: 10007_CR203
  publication-title: IEEJ Trans Power Energy
  doi: 10.1541/ieejpes.126.1013
– volume-title: IoT, machine learning and blockchain technologies for renewable energy and modern hybrid power systems
  year: 2023
  ident: 10007_CR161
– volume: 12
  start-page: 1823
  issue: 2
  year: 2021
  ident: 10007_CR71
  publication-title: Ain Shams Eng J
  doi: 10.1016/j.asej.2020.09.024
– volume: 2
  start-page: 266
  issue: 4
  year: 2010
  ident: 10007_CR125
  publication-title: Int J Electr Eng Inform
– volume: 9
  start-page: 79961
  year: 2021
  ident: 10007_CR79
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2021.3083688
– volume: 6
  start-page: 196
  issue: 6
  year: 2018
  ident: 10007_CR187
  publication-title: Int J Energy Conv
– volume: 5
  start-page: 744
  issue: 3
  year: 1990
  ident: 10007_CR205
  publication-title: IEEE Trans Power Syst
  doi: 10.1109/59.65901
– ident: 10007_CR95
– volume: 7
  start-page: 589
  issue: 3
  year: 2019
  ident: 10007_CR131
  publication-title: J Mod Power Syst Clean Energy
  doi: 10.1007/s40565-018-0480-7
– volume: 8
  start-page: 223
  issue: 2
  year: 2014
  ident: 10007_CR28
  publication-title: IET Gener Transm Distrib
  doi: 10.1049/iet-gtd.2013.0290
– volume: 2020
  start-page: 553
  year: 2021
  ident: 10007_CR34
  publication-title: Green Technol Smart City Soc: Proc GTSCS
  doi: 10.1007/978-981-15-8218-9_45
– volume: 44
  start-page: 1105
  year: 2020
  ident: 10007_CR10
  publication-title: Iranian J Sci Technol Trans Electr Eng
  doi: 10.1007/s40998-019-00261-z
– volume: 16
  start-page: 2395
  issue: 5
  year: 2023
  ident: 10007_CR31
  publication-title: Energies
  doi: 10.3390/en16052395
– ident: 10007_CR69
  doi: 10.1109/INDUSCON.2016.7874545
– volume: 12
  start-page: 7837
  year: 2021
  ident: 10007_CR94
  publication-title: J Ambient Intell Humaniz Comput
  doi: 10.1007/s12652-020-02511-z
– volume: 12
  start-page: 609
  issue: 1
  year: 2021
  ident: 10007_CR33
  publication-title: Ain Shams Eng J
  doi: 10.1016/j.asej.2020.07.009
– volume: 84
  start-page: 168
  year: 2017
  ident: 10007_CR186
  publication-title: Int J Electr Power Energy Syst
  doi: 10.1016/j.ijepes.2016.05.008
– volume: 5
  start-page: 142
  issue: 1
  year: 2017
  ident: 10007_CR68
  publication-title: J Mod Power Syst Clean Energy
  doi: 10.1007/s40565-016-0198-3
– volume: 9
  start-page: 6829
  issue: 6
  year: 2017
  ident: 10007_CR77
  publication-title: IEEE Trans Smart Grid
  doi: 10.1109/TSG.2017.2724766
– volume: 25
  start-page: 103
  year: 2014
  ident: 10007_CR80
  publication-title: J Control Autom Electr Syst
  doi: 10.1007/s40313-013-0070-x
– volume: 75
  start-page: 190
  issue: 2–3
  year: 2005
  ident: 10007_CR113
  publication-title: Electric Power Syst Res
– volume: 11
  start-page: 13714
  year: 2023
  ident: 10007_CR163
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2023.3243549
– volume: 14
  start-page: 478
  issue: 2
  year: 1999
  ident: 10007_CR206
  publication-title: IEEE Trans Power Syst
  doi: 10.1109/59.761869
– volume: 7
  start-page: 67874
  year: 2019
  ident: 10007_CR105
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2019.2918480
– year: 2020
  ident: 10007_CR176
  publication-title: J Electr Computer Eng
  doi: 10.1155/2020/5643410
– volume: 14
  start-page: 305
  issue: 4
  year: 1995
  ident: 10007_CR59
  publication-title: Algorithmica
  doi: 10.1007/BF01294129
– ident: 10007_CR175
  doi: 10.1109/SmartGridComm.2019.8909777
– year: 2023
  ident: 10007_CR45
  publication-title: IEEE Trans Power Deliv
  doi: 10.1109/TPWRD.2023.3277816
– volume: 15
  start-page: 70
  issue: 2
  year: 1995
  ident: 10007_CR195
  publication-title: IEEE Power Eng Rev
– volume: 140
  start-page: 95
  year: 2016
  ident: 10007_CR11
  publication-title: Electric Power Syst Res
  doi: 10.1016/j.epsr.2016.06.035
– volume: 13
  start-page: 6937
  issue: 12
  year: 2023
  ident: 10007_CR14
  publication-title: Appl Sci
  doi: 10.3390/app13126937
– volume: 12
  start-page: 6033
  issue: 22
  year: 2018
  ident: 10007_CR75
  publication-title: IET Gener Transm Distrib
  doi: 10.1049/iet-gtd.2018.5886
– year: 2023
  ident: 10007_CR164
  publication-title: IEEE Trans Power Syst
  doi: 10.1109/TPWRS.2023.3286406
– volume: 8
  start-page: 2999
  issue: 6
  year: 2017
  ident: 10007_CR9
  publication-title: IEEE Trans Smart Grid
  doi: 10.1109/TSG.2017.2679238
– volume: 15
  start-page: 5269
  issue: 14
  year: 2022
  ident: 10007_CR152
  publication-title: Energies
  doi: 10.3390/en15145269
– ident: 10007_CR7
  doi: 10.1109/MEPCON55441.2022.10021757
– volume: 20
  start-page: 1311
  issue: 3
  year: 2005
  ident: 10007_CR85
  publication-title: IEEE Trans Power Syst
  doi: 10.1109/TPWRS.2005.846180
– volume: 8
  start-page: 1540
  issue: 10
  year: 2014
  ident: 10007_CR183
  publication-title: Int J Electr Computer Electron Commun Eng
– volume: 26
  start-page: 134
  issue: 1
  year: 2016
  ident: 10007_CR17
  publication-title: Int Trans Electr Energy Syst
  doi: 10.1002/etep.2073
– volume: 9
  start-page: 67
  issue: 6
  year: 2021
  ident: 10007_CR42
  publication-title: Computation
  doi: 10.3390/computation9060067
– volume: 11
  start-page: 2995
  issue: 4
  year: 2020
  ident: 10007_CR73
  publication-title: IEEE Trans Smart Grid
  doi: 10.1109/TSG.2020.2974922
– volume: 8
  start-page: 97392
  year: 2020
  ident: 10007_CR126
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2020.2997378
– volume: 50
  start-page: 2074
  issue: 8
  year: 2009
  ident: 10007_CR135
  publication-title: Energy Convers Manage
  doi: 10.1016/j.enconman.2009.03.029
– ident: 10007_CR18
– volume: 19
  start-page: 10
  issue: 5
  year: 2019
  ident: 10007_CR153
  publication-title: J Electr Eng
– volume: 22
  start-page: 882
  issue: 2
  year: 2007
  ident: 10007_CR180
  publication-title: IEEE Trans Power Syst
  doi: 10.1109/TPWRS.2007.894848
– volume: 12
  start-page: 2027
  issue: 3
  year: 2020
  ident: 10007_CR84
  publication-title: IEEE Trans Smart Grid
  doi: 10.1109/TSG.2020.3039984
– volume: 4
  start-page: 1492
  issue: 2
  year: 1989
  ident: 10007_CR208
  publication-title: IEEE Trans Power Deliv
  doi: 10.1109/61.25637
– volume: 44
  start-page: 1492
  issue: 13
  year: 2016
  ident: 10007_CR122
  publication-title: Electric Power Compon Syst
  doi: 10.1080/15325008.2016.1172281
– volume: 104
  start-page: 1487
  year: 2022
  ident: 10007_CR166
  publication-title: Electr Eng
  doi: 10.1007/s00202-021-01399-y
– volume: 30
  issue: 2
  year: 2020
  ident: 10007_CR24
  publication-title: Int Trans Electr Energy Syst
  doi: 10.1002/2050-7038.12230
– volume: 50
  year: 2022
  ident: 10007_CR167
  publication-title: Sustain Energy Technol Assess
– volume: 91
  start-page: 37
  year: 2012
  ident: 10007_CR177
  publication-title: Electric Power Syst Res
  doi: 10.1016/j.epsr.2012.04.016
– start-page: 365
  volume-title: Optimization of power system problems: methods, algorithms and MATLAB codes
  year: 2020
  ident: 10007_CR182
  doi: 10.1007/978-3-030-34050-6_14
– volume: 9
  start-page: 118502
  year: 2021
  ident: 10007_CR64
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2021.3107475
– volume: 30
  start-page: 803
  year: 2015
  ident: 10007_CR194
  publication-title: Appl Soft Comput
  doi: 10.1016/j.asoc.2015.02.028
– volume: 3
  start-page: 82
  issue: 3
  year: 2016
  ident: 10007_CR181
  publication-title: J Sustain Res Eng
– volume: 30
  start-page: 840
  issue: 2
  year: 2014
  ident: 10007_CR101
  publication-title: IEEE Trans Power Syst
  doi: 10.1109/TPWRS.2014.2330628
– year: 2000
  ident: 10007_CR193
  publication-title: Int J Electr Eng Educ
  doi: 10.7227/IJEEE.37.4.8
– volume: 79
  start-page: 1521
  issue: 11
  year: 2009
  ident: 10007_CR124
  publication-title: Electric Power Syst Res
  doi: 10.1016/j.epsr.2009.05.004
– volume: 1
  start-page: 186
  issue: 3
  year: 2013
  ident: 10007_CR38
  publication-title: IEEE J Emerg Selected Topics Power Electron
  doi: 10.1109/JESTPE.2013.2277917
– volume: 12
  start-page: 2866
  issue: 3
  year: 2017
  ident: 10007_CR51
  publication-title: IEEE Syst J
  doi: 10.1109/JSYST.2017.2715199
– volume: 16
  start-page: 10
  issue: 4
  year: 2016
  ident: 10007_CR147
  publication-title: J Electr Eng
– volume: 12
  start-page: 3286
  issue: 13
  year: 2018
  ident: 10007_CR66
  publication-title: IET Gener Transm Distrib
  doi: 10.1049/iet-gtd.2018.0228
– ident: 10007_CR145
– volume: 30
  start-page: 92
  year: 2019
  ident: 10007_CR130
  publication-title: Renew Energy Focus
  doi: 10.1016/j.ref.2019.04.001
– volume: 7
  start-page: 593
  issue: 6
  year: 2013
  ident: 10007_CR29
  publication-title: IET Gener Transm Distrib
  doi: 10.1049/iet-gtd.2012.0661
– volume: 2
  start-page: 192
  issue: 2
  year: 2019
  ident: 10007_CR192
  publication-title: IET Smart Grid
  doi: 10.1049/iet-stg.2018.0146
– volume-title: Smart and power grid systems-design challenges and paradigms
  year: 2023
  ident: 10007_CR2
– year: 2021
  ident: 10007_CR54
  publication-title: Arch Comput Methods Eng
  doi: 10.1007/s11831-021-09534-5
– year: 2023
  ident: 10007_CR46
  publication-title: Electric Power Compon Syst
  doi: 10.1080/15325008.2023.2196673
– volume: 2021
  start-page: 1
  year: 2021
  ident: 10007_CR149
  publication-title: Math Prob Eng
– volume: 44
  start-page: 252
  issue: 3
  year: 2016
  ident: 10007_CR52
  publication-title: Electric Power Compon Syst
  doi: 10.1080/15325008.2015.1102989
– volume: 61
  start-page: 4081
  issue: 5
  year: 2022
  ident: 10007_CR111
  publication-title: Alex Eng J
  doi: 10.1016/j.aej.2021.09.063
– volume: 7
  start-page: 1182
  issue: 12
  year: 2019
  ident: 10007_CR67
  publication-title: Mathematics
  doi: 10.3390/math7121182
– volume: 62
  start-page: 461
  year: 2014
  ident: 10007_CR106
  publication-title: Int J Electr Power Energy Syst
  doi: 10.1016/j.ijepes.2014.04.064
– volume: 101
  start-page: 45
  year: 2019
  ident: 10007_CR63
  publication-title: Electr Eng
  doi: 10.1007/s00202-019-00755-3
– ident: 10007_CR32
  doi: 10.1109/SAUPEC55179.2022.9730628
– volume: 3
  start-page: 1
  issue: 1
  year: 2023
  ident: 10007_CR48
  publication-title: Sukkur IBA J Educ Sci Technol
– volume: 15
  start-page: 2083
  issue: 6
  year: 2022
  ident: 10007_CR119
  publication-title: Energies
  doi: 10.3390/en15062083
– year: 2023
  ident: 10007_CR141
  publication-title: J Control Sci Eng
  doi: 10.1155/2023/6081991
– volume: 61
  start-page: 8069
  issue: 10
  year: 2022
  ident: 10007_CR108
  publication-title: Alex Eng J
  doi: 10.1016/j.aej.2022.01.056
– volume: 7
  start-page: 113
  issue: 1
  year: 2016
  ident: 10007_CR127
  publication-title: Ain Shams Eng J
  doi: 10.1016/j.asej.2015.11.018
– volume: 16
  start-page: 3072
  issue: 7
  year: 2023
  ident: 10007_CR15
  publication-title: Energies
  doi: 10.3390/en16073072
– volume: 15
  start-page: 5317
  issue: 15
  year: 2022
  ident: 10007_CR136
  publication-title: Energies
  doi: 10.3390/en15155317
– volume: 8
  start-page: 227
  year: 2017
  ident: 10007_CR65
  publication-title: Energy Syst
  doi: 10.1007/s12667-016-0195-7
– volume: 37
  start-page: 775
  issue: 2
  year: 2021
  ident: 10007_CR132
  publication-title: IEEE Trans Power Deliv
  doi: 10.1109/TPWRD.2021.3070796
– volume: 20
  start-page: 247
  issue: 4
  year: 1998
  ident: 10007_CR162
  publication-title: Int J Electr Power Energy Syst
  doi: 10.1016/S0142-0615(98)00005-2
– volume: 20
  start-page: 391
  issue: 2
  year: 2017
  ident: 10007_CR25
  publication-title: Eng Sci Technol Int J
– volume: 92
  year: 2020
  ident: 10007_CR123
  publication-title: Appl Soft Comput
  doi: 10.1016/j.asoc.2020.106293
– ident: 10007_CR200
– volume-title: Application of machine learning and deep learning methods to power system problems
  year: 2021
  ident: 10007_CR160
  doi: 10.1007/978-3-030-77696-1
– volume: 63
  start-page: 95
  issue: 2
  year: 2002
  ident: 10007_CR27
  publication-title: Electric Power Syst Res
  doi: 10.1016/S0378-7796(02)00081-0
– volume: 80
  start-page: 943
  issue: 8
  year: 2010
  ident: 10007_CR93
  publication-title: Electric Power Syst Res
  doi: 10.1016/j.epsr.2010.01.001
– volume: 50
  start-page: 61
  issue: 1
  year: 2017
  ident: 10007_CR207
  publication-title: IFAC-Papers OnLine
  doi: 10.1016/j.ifacol.2017.08.011
– volume: 61
  start-page: 6541
  issue: 8
  year: 2022
  ident: 10007_CR169
  publication-title: Alex Eng J
  doi: 10.1016/j.aej.2021.12.012
– volume: 26
  start-page: 783
  issue: 4
  year: 2016
  ident: 10007_CR179
  publication-title: Int Trans Electr Energy Syst
  doi: 10.1002/etep.2108
– volume: 27
  start-page: 47
  issue: 1
  year: 2011
  ident: 10007_CR40
  publication-title: IEEE Trans Power Syst
  doi: 10.1109/TPWRS.2011.2167991
– volume: 11
  start-page: 63
  issue: 3
  year: 2018
  ident: 10007_CR189
  publication-title: Int J Grid Distrib Comput
  doi: 10.14257/ijgdc.2018.11.3.06
SSID ssj0054992
Score 2.3833184
SecondaryResourceType review_article
Snippet Power losses and voltage profiles in electricity distribution networks are a problem, particularly in developing nations. Many techniques have reportedly been...
SourceID proquest
crossref
springer
SourceType Aggregation Database
Enrichment Source
Index Database
Publisher
StartPage 1233
SubjectTerms Algorithms
Electric power distribution
Electric power loss
Engineering
Machine learning
Mathematical and Computational Engineering
Networks
Radial distribution
Review Article
Smart grid
SummonAdditionalLinks – databaseName: SpringerLINK
  dbid: RSV
  link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LT8QgEJ74OujB9RnXVzh40yYtUApHs2r04Mb4iremS6nZRFmzrP4Af7lAqVWjJnojKZCGmYFvmGE-gD2VSexqkETY2k5ErQ8RcapElFVZVSQFc6EhTzaR9fv87k5chEdhpsl2b0KSfqduH7tZ7bOuL3a5VP6CbRpm7XHHnTleXt02-69zeHyMMyHuzp_F4anM93N8Po5ajPklLOpPm5PO__5zCRYDukSHtTosw5TSK9AJSBMFOzYrsPChDOEqvNYBAnOAeg21im0XukRn2jjn3aCRRjX_Q7g7ROeeedogi3lRv04lR86V1dXw_rnWKoOGGl09Wt1Ex55sZygt5EdHrlRvYNlqhpo1uDk5vu6dRoGbIZKEkUmUVJhIqmJpIYhIpGAVkUxRlVY0lTKWJC5JSlVRcCIVU4oSpooMq7IoFRvgkqzDjB5ptQGIDzgfkDK2k1BacMFlJpTgaWaxg22KLiSNiHIZCpc7_oyHvC257JY8t0ue-yXP4y7sv495qst2_Np7u5F8HkzY5MSCQcaxwGkXDhpJt59_nm3zb923YB5boFRnA23DzGT8rHZgTr5Mhma861X7DWkU824
  priority: 102
  providerName: Springer Nature
Title Reviews, Challenges, and Insights on Computational Methods for Network Reconfigurations in Smart Electricity Distribution Networks
URI https://link.springer.com/article/10.1007/s11831-023-10007-0
https://www.proquest.com/docview/3256682925
Volume 31
WOSCitedRecordID wos001086380500002&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVPQU
  databaseName: ABI/INFORM Global
  customDbUrl:
  eissn: 1886-1784
  dateEnd: 20241207
  omitProxy: false
  ssIdentifier: ssj0054992
  issn: 1134-3060
  databaseCode: M0C
  dateStart: 20230101
  isFulltext: true
  titleUrlDefault: https://search.proquest.com/abiglobal
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: Advanced Technologies & Aerospace Database
  customDbUrl:
  eissn: 1886-1784
  dateEnd: 20241207
  omitProxy: false
  ssIdentifier: ssj0054992
  issn: 1134-3060
  databaseCode: P5Z
  dateStart: 20230101
  isFulltext: true
  titleUrlDefault: https://search.proquest.com/hightechjournals
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: Computer Science Database
  customDbUrl:
  eissn: 1886-1784
  dateEnd: 20241207
  omitProxy: false
  ssIdentifier: ssj0054992
  issn: 1134-3060
  databaseCode: K7-
  dateStart: 20230101
  isFulltext: true
  titleUrlDefault: http://search.proquest.com/compscijour
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: Engineering Database
  customDbUrl:
  eissn: 1886-1784
  dateEnd: 20241207
  omitProxy: false
  ssIdentifier: ssj0054992
  issn: 1134-3060
  databaseCode: M7S
  dateStart: 20230101
  isFulltext: true
  titleUrlDefault: http://search.proquest.com
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: ProQuest ABI/INFORM Collection
  customDbUrl:
  eissn: 1886-1784
  dateEnd: 20241207
  omitProxy: false
  ssIdentifier: ssj0054992
  issn: 1134-3060
  databaseCode: 7WY
  dateStart: 20230101
  isFulltext: true
  titleUrlDefault: https://www.proquest.com/abicomplete
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: ProQuest Central (subscription)
  customDbUrl:
  eissn: 1886-1784
  dateEnd: 20241207
  omitProxy: false
  ssIdentifier: ssj0054992
  issn: 1134-3060
  databaseCode: BENPR
  dateStart: 20230101
  isFulltext: true
  titleUrlDefault: https://www.proquest.com/central
  providerName: ProQuest
– providerCode: PRVAVX
  databaseName: SpringerLINK Contemporary 1997-Present
  customDbUrl:
  eissn: 1886-1784
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0054992
  issn: 1134-3060
  databaseCode: RSV
  dateStart: 19970101
  isFulltext: true
  titleUrlDefault: https://link.springer.com/search?facet-content-type=%22Journal%22
  providerName: Springer Nature
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Lb9QwEB71wYFLS3mIhbLyoTdqkdiOHycEy1atqq5WXR6FS5R1HLQSZNt6yw_glzN2HFZFopdeRpaSWJFmbH_z8HwAB05ZFnqQUIZrhwr0IagWzlDVqKbKKxlSQ5FsQk0m-uLCTFPAzaeyyn5PjBt1vbQhRv6G49ksNTOseHt5RQNrVMiuJgqNTdjOGcuDnZ8q2u_EwfWJ2c6ch-i_zNKlme7qHNoyOtIsVGbFcN3tg2mNNv9JkMZz52j3vn_8CHYS4iTvOhPZgw3XPobdhD5JWtv-Cfzu0gT-kIx6ghUcV21NTlofXHhPli3pWCBSBJGcRf5pTxD5kklXUE6CQ9s2i-83nW15smjJ7CdaKBlHyp2FReBPPoSGvYlrq__UP4VPR-OPo2OaGBqo5ZKvaN4wboXLLAIRk1sjG26lE65oRGFtZnlW80K4qtLcOumc4NJVirm6qp2cs5o_g6122brnQPRc6zmvM5xEiEobbZVxRhcKEQQOzQDyXj2lTe3LA4vGj3LdeDmotESVllGlZTaA13-_ueyad9z59n6vxzItZF-ulTiAw94S1o__P9uLu2d7CQ8ZwqOuBmgftlbXN-4VPLC_Vgt_PYRN9eXrELbfjyfT82E0apRn2ShINUM5Lb6hPJ99_gNgSP95
linkProvider ProQuest
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V3NTxQxFH9BMJGL4FdYBexBTzJxpu102oMxZIGwATYmYsJtnO10zCY6i3TRePUP8m_09cuNJHDjwG2Smb5D5_e--l7fD-CVqTR1M0gyirqTccwhMsmNyqqu6pqiEa405MkmqvFYnp2pD0vwJ92FcW2VySZ6Q93OtDsjf8vQNwtJFS3fn3_PHGuUq64mCo0AiyPz6yembPbdaA__72tKD_ZPh4dZZBXINBNsnhUdZZqbXKPzVIVWomNaGG7Kjpda55rlLSu5aRrJtBHGcCZMU1HTNq0RE9oylHsPVjhHdXCtgvkwWX6XavnqasFctUHk8ZJOuKqHuoOJO3WdYP548H9HuIhurxRkvZ87WLtrO7QOD2NETXaDCjyCJdM_hrUYXZNou-wT-B3KIHaHDBOBDD43fUtGvXVHFJbMehJYLuIJKTnx_NqWYGRPxqFhnriEve-mXy6D7lgy7cnHb6iBZN9TCk01JjZkzw0kjlxiaal9Cp9uZSeewXI_680GEDmRcsLaHIVw3kgldaWMkmWFERI-qgEUCQ61juPZHUvI13oxWNpBqEYI1R5CdT6AN__WnIfhJDd-vZlwU0dDZesFaAawk5C3eH29tOc3S3sJDw5PT47r49H46AWsUgwFQ7_TJizPLy7NFtzXP-ZTe7HtVYjA59tG5F9BbFjr
linkToPdf http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1LS8QwEB58IXrwLa7PHLxpsU3SNDmKuijqIvjAW-mmqSxoVszqD_CXm6Spq6KCeCs0CSWZNN9kZr4PYFtlEjsOkgjbvRNR60NEnCoRZVVWFUnBXGjIi01knQ6_vRUXH6r4fbZ7E5KsaxocS5Me7D2W1d6w8M1aonWDscur8pdtozBOnWiQ89cvb5p_sXN-fLwzIe7-n8WhbOb7MT4fTUO8-SVE6k-e9uz_v3kOZgLqRPu1mczDiNILMBsQKAr72yzA9Ad6wkV4rQMHZhcdNJIr9rnQJTrRxjn1BvU1qnUhwp0iOveK1AZZLIw6dYo5ci6urnp3z7W1GdTT6PLB2iw68iI8PWldAXToKHyD-lbT1SzBdfvo6uA4CpoNkSSMDKKkwkRSFUsLTUQiBauIZIqqtKKplLEkcUlSqoqCE6mYUpQwVWRYlUWpWBeXZBnGdF-rFUC8y3mXlLEdhNKCCy4zoQRPM4sp7KNoQdIsVy4DobnT1bjPh1TMbspzO-W5n_I8bsHOe5_Hms7j19brjRXkYWubnFiQyDgWOG3BbrPqw9c_j7b6t-ZbMHlx2M7PTjqnazCFLZaqE4bWYWzw9Kw2YEK-DHrmadNb_Bt02_82
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Reviews%2C+Challenges%2C+and+Insights+on+Computational+Methods+for+Network+Reconfigurations+in+Smart+Electricity+Distribution+Networks&rft.jtitle=Archives+of+computational+methods+in+engineering&rft.au=El-Fergany%2C+Attia+A&rft.date=2024-04-01&rft.pub=Springer+Nature+B.V&rft.issn=1134-3060&rft.eissn=1886-1784&rft.volume=31&rft.issue=3&rft.spage=1233&rft.epage=1253&rft_id=info:doi/10.1007%2Fs11831-023-10007-0
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1134-3060&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1134-3060&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1134-3060&client=summon