A Multiobjective Salp Optimization Algorithm for Techno-Economic-Based Performance Enhancement of Distribution Networks

Enhancing the performance of distribution systems is crucial work for their operators. It involves the high necessity for reducing the power losses besides their related costs, enhancing the voltage profile, and minimizing the investment costs of allocated shunt capacitors. Uncertain power demand is...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:IEEE systems journal Ročník 15; číslo 1; s. 1458 - 1466
Hlavní autoři: Shaheen, Abdullah M., El-Sehiemy, Ragab A.
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.03.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithms
Capacitor reallocation
Capacitors
Continuity (mathematics)
Convergence
Cost allocation
Economics
Electric potential
Investment
Loading
losses
Mathematical analysis
medium voltage (MV) distribution networks
Multiple objective analysis
Operators (mathematics)
Optimization
Performance enhancement
Reactive power
Reliability
salp swarm optimizer (SSO)
Shunt capacitors
Voltage
Voltage control
ISSN:1932-8184, 1937-9234
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Abstract Enhancing the performance of distribution systems is crucial work for their operators. It involves the high necessity for reducing the power losses besides their related costs, enhancing the voltage profile, and minimizing the investment costs of allocated shunt capacitors. Uncertain power demand is also augmented to achieve reliable operation of distribution systems. To fulfill the previous techno-economic merits, this article proposes a multiobjective framework. In this line, a multiobjective salp swarm optimizer (MSSO) is developed. MSSO is characterized by its simplicity, good convergence, and high capability of driving the solutions toward true optimal Pareto front. The developed MSSO optimizes the technical and economical objective functions considering integer, discrete, and continuous natures of control variables. The proposed MSSO is successively tested on two Egyptian distribution networks. Significant merits are achieved with reduction of 20-25 k/year in the total costs for single and multiobjective cases. In addition, it preserves the voltage deviations at very low levels compared with the flat value. The superiority and scalability of the proposed MSSO are satisfied for large-scale 118-node radial system. Best compromise solutions at acceptable convergence rates and competitive statistical indices are achieved.
AbstractList Enhancing the performance of distribution systems is crucial work for their operators. It involves the high necessity for reducing the power losses besides their related costs, enhancing the voltage profile, and minimizing the investment costs of allocated shunt capacitors. Uncertain power demand is also augmented to achieve reliable operation of distribution systems. To fulfill the previous techno-economic merits, this article proposes a multiobjective framework. In this line, a multiobjective salp swarm optimizer (MSSO) is developed. MSSO is characterized by its simplicity, good convergence, and high capability of driving the solutions toward true optimal Pareto front. The developed MSSO optimizes the technical and economical objective functions considering integer, discrete, and continuous natures of control variables. The proposed MSSO is successively tested on two Egyptian distribution networks. Significant merits are achieved with reduction of 20–25 k$/year in the total costs for single and multiobjective cases. In addition, it preserves the voltage deviations at very low levels compared with the flat value. The superiority and scalability of the proposed MSSO are satisfied for large-scale 118-node radial system. Best compromise solutions at acceptable convergence rates and competitive statistical indices are achieved.
Author Shaheen, Abdullah M.
El-Sehiemy, Ragab A.
Author_xml – sequence: 1
  givenname: Abdullah M.
  orcidid: 0000-0001-7566-9874
  surname: Shaheen
  fullname: Shaheen, Abdullah M.
  email: abdullahshaheen2015@gmail.com
  organization: Electrical Engineering Department, Faculty of Engineering, Suez University, Suez, Egypt
– sequence: 2
  givenname: Ragab A.
  orcidid: 0000-0002-3340-4031
  surname: El-Sehiemy
  fullname: El-Sehiemy, Ragab A.
  email: elsehiemy@eng.kfs.edu.eg
  organization: Electrical Engineering Department, Faculty of Engineering, Kafrelsheikh University, Kafrelsheikh, Egypt
BookMark eNp9kUlPwzAQhS1UJNY_ABdLnFO8ZPOxlLKpLFLLgVPkOBPqktjFdqng15O2iAMHTm-kN9-M5s0B6hlrAKETSvqUEnF-N3mZTPuMMNJnIo2zmO-gfSp4FgnG496mZlFO83gPHXg_JyTJk0zso9UA3y-boG05BxX0B-CJbBb4cRF0q79kZxg8aF6t02HW4to6PAU1MzYaKWtsq1V0IT1U-AlcZ7bSKMAjM1trCyZgW-NL7YPT5XIz6wHCyro3f4R2a9l4OP7RQ_R8NZoOb6Lx4_XtcDCOFBNJiKioQKV1mfEypRIoAVpzwuI6lrwkLFdxlgoik4pSSSVL61wQmlaQcqU4lRU_RGfbuQtn35fgQzG3S2e6lQVLCOWMpJnouvJtl3LWewd1oXTYHB-c1E1BSbGOudjEXKxjLn5i7lD2B1043Ur3-T90uoU0APwCuchI0v3rG_jsjVs
CODEN ISJEB2
CitedBy_id crossref_primary_10_1109_ACCESS_2021_3087449
crossref_primary_10_1080_0305215X_2021_1897799
crossref_primary_10_1109_ACCESS_2021_3076670
crossref_primary_10_1002_2050_7038_13126
crossref_primary_10_1109_ACCESS_2020_3009113
crossref_primary_10_1109_TPWRD_2022_3164408
crossref_primary_10_1049_iet_rpg_2019_1127
crossref_primary_10_1016_j_asoc_2023_110142
crossref_primary_10_1007_s00500_024_09807_8
crossref_primary_10_1016_j_ref_2024_100580
crossref_primary_10_1109_ACCESS_2021_3069456
crossref_primary_10_1016_j_eswa_2021_116029
crossref_primary_10_1109_JSYST_2020_3009028
crossref_primary_10_1016_j_asoc_2021_108387
crossref_primary_10_1038_s41598_024_69191_z
crossref_primary_10_1109_JSYST_2021_3076515
crossref_primary_10_1016_j_energy_2021_121478
crossref_primary_10_1049_gtd2_12104
crossref_primary_10_1109_ACCESS_2020_3022919
crossref_primary_10_1109_ACCESS_2021_3060710
crossref_primary_10_3390_math9172053
crossref_primary_10_3390_en16083532
crossref_primary_10_1016_j_asoc_2020_106867
crossref_primary_10_1080_02286203_2024_2363605
crossref_primary_10_1080_15325008_2024_2303066
crossref_primary_10_1049_rpg2_12499
crossref_primary_10_3390_en15103579
crossref_primary_10_1109_ACCESS_2020_3038740
crossref_primary_10_1002_2050_7038_12609
crossref_primary_10_1007_s42835_022_01355_1
crossref_primary_10_1109_JSYST_2021_3136778
crossref_primary_10_1002_2050_7038_12727
crossref_primary_10_1016_j_egyr_2022_06_080
crossref_primary_10_1109_JSYST_2020_2986647
crossref_primary_10_1049_pel2_12228
crossref_primary_10_3390_biomimetics8080608
crossref_primary_10_1109_ACCESS_2020_3047671
crossref_primary_10_1002_2050_7038_13050
crossref_primary_10_1515_ehs_2023_0036
crossref_primary_10_1109_ACCESS_2021_3092337
crossref_primary_10_3390_pr9030471
crossref_primary_10_1002_2050_7038_13210
crossref_primary_10_1016_j_epsr_2022_107773
crossref_primary_10_1016_j_ijepes_2023_109572
crossref_primary_10_1080_01430750_2023_2277302
Cites_doi 10.1080/15325008.2014.890971
10.1002/etep.1820
10.1049/iet-gtd.2015.0558
10.1109/JSYST.2018.2796847
10.1109/JSYST.2019.2911534
10.1109/JSYST.2016.2573799
10.1049/iet-gtd.2019.0739
10.1109/ACCESS.2019.2930631
10.1016/j.energy.2019.116817
10.3390/en13010058
10.3233/JIFS-152372
10.1049/iet-gtd.2013.0290
10.1049/iet-gtd.2018.5136
10.1016/j.advengsoft.2017.07.002
10.1049/iet-gtd.2018.0228
10.1049/iet-gtd.2015.0892
10.1109/JSYST.2015.2491966
10.1080/15325008.2013.856965
10.1049/iet-gtd.2018.0053
10.1016/j.compeleceng.2019.106461
10.1016/j.renene.2017.12.051
10.1016/j.asej.2016.01.006
10.1016/j.energy.2016.09.007
10.1016/j.epsr.2018.10.027
10.1002/etep.2545
10.3923/jas.2010.2998.3006
10.1177/0037549708101181
10.1109/TSTE.2018.2828778
10.1016/j.enconman.2018.10.069
10.1049/oap-cired.2017.0020
10.1109/JSYST.2016.2645165
10.1002/etep.2755
10.1016/j.asej.2015.12.003
10.1049/iet-gtd.2016.0419
ContentType Journal Article
Copyright Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021
Copyright_xml – notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021
DBID 97E
RIA
RIE
AAYXX
CITATION
DOI 10.1109/JSYST.2020.2964743
DatabaseName IEEE Xplore (IEEE)
IEEE All-Society Periodicals Package (ASPP) 1998–Present
IEEE Xplore
CrossRef
DatabaseTitle CrossRef
DatabaseTitleList

Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Economics
Engineering
EISSN 1937-9234
EndPage 1466
ExternalDocumentID 10_1109_JSYST_2020_2964743
8970592
Genre orig-research
GroupedDBID 0R~
29I
4.4
5GY
5VS
6IK
97E
AAJGR
AARMG
AASAJ
AAWTH
ABAZT
ABQJQ
ABVLG
ACIWK
AENEX
AETIX
AGQYO
AGSQL
AHBIQ
AKJIK
AKQYR
ALMA_UNASSIGNED_HOLDINGS
ATWAV
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
CS3
DU5
EBS
EJD
HZ~
IFIPE
IPLJI
JAVBF
LAI
M43
O9-
OCL
RIA
RIE
RNS
AAYXX
CITATION
ID FETCH-LOGICAL-c295t-19dec6fb73b61ae10e1f3024f4a3b028c47690a5d11a1a26f89016de63cc31ad3
IEDL.DBID RIE
ISICitedReferencesCount 43
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000628985900143&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 1932-8184
IngestDate Mon Jun 30 10:10:50 EDT 2025
Sat Nov 29 02:59:21 EST 2025
Tue Nov 18 21:51:47 EST 2025
Wed Aug 27 02:48:22 EDT 2025
IsPeerReviewed true
IsScholarly true
Issue 1
Language English
License https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html
https://doi.org/10.15223/policy-029
https://doi.org/10.15223/policy-037
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c295t-19dec6fb73b61ae10e1f3024f4a3b028c47690a5d11a1a26f89016de63cc31ad3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ORCID 0000-0002-3340-4031
0000-0001-7566-9874
PQID 2501320679
PQPubID 85494
PageCount 9
ParticipantIDs ieee_primary_8970592
proquest_journals_2501320679
crossref_citationtrail_10_1109_JSYST_2020_2964743
crossref_primary_10_1109_JSYST_2020_2964743
PublicationCentury 2000
PublicationDate 2021-March
2021-3-00
20210301
PublicationDateYYYYMMDD 2021-03-01
PublicationDate_xml – month: 03
  year: 2021
  text: 2021-March
PublicationDecade 2020
PublicationPlace New York
PublicationPlace_xml – name: New York
PublicationTitle IEEE systems journal
PublicationTitleAbbrev JSYST
PublicationYear 2021
Publisher IEEE
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher_xml – name: IEEE
– name: The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
References ref13
ref12
ref15
ref14
ref31
ref30
ref33
ref11
ref32
ref10
ref2
ref1
ref17
ref16
ref19
ref18
mohamed (ref34) 2014; 42
ref24
ref23
ref26
ref25
ref20
ref22
ref21
ref28
ref27
ref29
ref8
ref7
ref9
ref4
ref3
ref6
ref5
References_xml – volume: 42
  start-page: 703
  year: 2014
  ident: ref34
  article-title: Optimal reconfiguration in radial distribution system using gravitational search algorithm
  publication-title: Elect Power Compon Syst
  doi: 10.1080/15325008.2014.890971
– ident: ref14
  doi: 10.1002/etep.1820
– ident: ref1
  doi: 10.1049/iet-gtd.2015.0558
– ident: ref6
  doi: 10.1109/JSYST.2018.2796847
– ident: ref22
  doi: 10.1109/JSYST.2019.2911534
– ident: ref10
  doi: 10.1109/JSYST.2016.2573799
– ident: ref23
  doi: 10.1049/iet-gtd.2019.0739
– ident: ref3
  doi: 10.1109/ACCESS.2019.2930631
– ident: ref26
  doi: 10.1016/j.energy.2019.116817
– ident: ref24
  doi: 10.3390/en13010058
– ident: ref33
  doi: 10.3233/JIFS-152372
– ident: ref18
  doi: 10.1049/iet-gtd.2013.0290
– ident: ref19
  doi: 10.1049/iet-gtd.2018.5136
– ident: ref25
  doi: 10.1016/j.advengsoft.2017.07.002
– ident: ref2
  doi: 10.1049/iet-gtd.2018.0228
– ident: ref29
  doi: 10.1049/iet-gtd.2015.0892
– ident: ref13
  doi: 10.1109/JSYST.2015.2491966
– ident: ref16
  doi: 10.1080/15325008.2013.856965
– ident: ref8
  doi: 10.1049/iet-gtd.2018.0053
– ident: ref21
  doi: 10.1016/j.compeleceng.2019.106461
– ident: ref27
  doi: 10.1016/j.renene.2017.12.051
– ident: ref17
  doi: 10.1016/j.asej.2016.01.006
– ident: ref32
  doi: 10.1016/j.energy.2016.09.007
– ident: ref5
  doi: 10.1016/j.epsr.2018.10.027
– ident: ref4
  doi: 10.1002/etep.2545
– ident: ref15
  doi: 10.3923/jas.2010.2998.3006
– ident: ref31
  doi: 10.1177/0037549708101181
– ident: ref7
  doi: 10.1109/TSTE.2018.2828778
– ident: ref28
  doi: 10.1016/j.enconman.2018.10.069
– ident: ref9
  doi: 10.1049/oap-cired.2017.0020
– ident: ref30
  doi: 10.1109/JSYST.2016.2645165
– ident: ref20
  doi: 10.1002/etep.2755
– ident: ref11
  doi: 10.1016/j.asej.2015.12.003
– ident: ref12
  doi: 10.1049/iet-gtd.2016.0419
SSID ssj0058579
Score 2.4330986
Snippet Enhancing the performance of distribution systems is crucial work for their operators. It involves the high necessity for reducing the power losses besides...
SourceID proquest
crossref
ieee
SourceType Aggregation Database
Enrichment Source
Index Database
Publisher
StartPage 1458
SubjectTerms Algorithms
Capacitor reallocation
Capacitors
Continuity (mathematics)
Convergence
Cost allocation
Economics
Electric potential
Investment
Loading
losses
Mathematical analysis
medium voltage (MV) distribution networks
Multiple objective analysis
Operators (mathematics)
Optimization
Performance enhancement
Reactive power
Reliability
salp swarm optimizer (SSO)
Shunt capacitors
Voltage
Voltage control
Title A Multiobjective Salp Optimization Algorithm for Techno-Economic-Based Performance Enhancement of Distribution Networks
URI https://ieeexplore.ieee.org/document/8970592
https://www.proquest.com/docview/2501320679
Volume 15
WOSCitedRecordID wos000628985900143&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: PRVIEE
  databaseName: IEEE Electronic Library (IEL)
  customDbUrl:
  eissn: 1937-9234
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0058579
  issn: 1932-8184
  databaseCode: RIE
  dateStart: 20070101
  isFulltext: true
  titleUrlDefault: https://ieeexplore.ieee.org/
  providerName: IEEE
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3JTsMwEB1BhQQc2AqiUJAP3CAQJ6ldH8smxKEgtUjlFHmloNJUXeD3sZ2kgEBInJKDHVl68cwbe94MwJFObIQWCh0QZndTEhkVCOOEukxyERItm8z4ZhO03W72eux-AU7mWhittU8-06fu1d_lq0zO3FHZWZNRywaswV2klORardLqWtbr6-o5PhJYJ5SUApmQnd12HjtdGwpG4am7ZKRJ_M0J-a4qP0yx9y_X6_9b2QasFTwStXLgN2FBD7dguZQZT7Zg9UulwSq8t5CX2mbiJbdwqMMHI3RnDcZrocRErcFTNn6e9l-RJbIoP3MPyi8G59bdKXT_qTNAV8O-e7qVocygS1eCt-iehdp5dvlkGx6ur7oXN0HRcyGQEWtMA8yUlsQIGguCucahxia2ftwkPBaWi8iE2niaNxTGHPOImKYlFERpEksZY67iHagMs6HeBcQ5MZgJFipLyqJQCCUiKakWiaJUG1UDXIKQyqIgueuLMUh9YBKy1AOXOuDSArgaHM_njPJyHH-Orjqo5iMLlGpQL7FOix07SS0VdGpyQtne77P2YSVy-Sw-_6wOlel4pg9gSb5NnyfjQ_8zfgD4d99x
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1NTxsxEB0hQEo5FBpATQutD9xgYb27seNj-BIUGpASJDit_NkEJdkoCfTvY3u9oVURUk-7B3tl6a1n3tjzZgD2dGYjtFjoiDC7m7LEqEgYJ9RlkouYaNlixjeboJ1O6_6e3S7BwUILo7X2yWf60L36u3xVyCd3VHbUYtSyAWtwV1znrKDWquyu5b2-sp5jJJF1Q1klkYnZ0Y_uQ7dng8EkPnTXjDRL_3JDvq_KP8bYe5jz9f9b2wZ8DEwStUvoP8GSHtehVgmNZ3VY-6PW4Cb8biMvti3EY2njUJcPJ-jGmoxR0GKi9vBXMR3M-yNkqSwqT92j6ovRsXV4Ct2-Kg3Q2bjvnm5lqDDo1BXhDf2zUKfML59twd35We_kIgpdFyKZsOY8wkxpSYygqSCYaxxrbFLryU3GU2HZiMyojah5U2HMMU-IaVlKQZQmqZQp5irdhuVxMdafAXFODGaCxcrSsiQWQolESqpFpijVRjUAVyDkMpQkd50xhrkPTWKWe-ByB1wegGvA_mLOpCzI8e7oTQfVYmRAqQE7FdZ52LOz3JJBpycnlH15e9Z3qF30fl7n15edq6_wIXHZLT4bbQeW59MnvQur8nk-mE2_-R_zBcCX4ro
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=A+Multiobjective+Salp+Optimization+Algorithm+for+Techno-Economic-Based+Performance+Enhancement+of+Distribution+Networks&rft.jtitle=IEEE+systems+journal&rft.au=Shaheen%2C+Abdullah+M&rft.au=El-Sehiemy%2C+Ragab+A&rft.date=2021-03-01&rft.pub=The+Institute+of+Electrical+and+Electronics+Engineers%2C+Inc.+%28IEEE%29&rft.issn=1932-8184&rft.eissn=1937-9234&rft.volume=15&rft.issue=1&rft.spage=1458&rft_id=info:doi/10.1109%2FJSYST.2020.2964743&rft.externalDBID=NO_FULL_TEXT
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1932-8184&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1932-8184&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1932-8184&client=summon