Optimal planning of distributed generation with application of multi-objective algorithm including economic, environmental and technical issues with considering uncertainties

This paper proposes a stochastic multi-objective model for integration of distributed generations (DGs) in distribution networks. The proposed model determines the optimal location and size of DGs by optimising different objective functions dependently and simultaneously subject to the operating con...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International journal of ambient energy Jg. 38; H. 8; S. 849 - 857
Hauptverfasser: Karimi, Masoumeh, Jannati Oskuee, Mohammad Reza, Amroony Boushehry, Mohammad Javad, Najafi Ravadanegh, Sajad
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Taylor & Francis 17.11.2017
Schlagworte:
Distributed generation sitting and sizing
electric distribution system
genetic algorithm
multi-objective
scenario based-stochastic programming
uncertainty modelling
ISSN:0143-0750, 2162-8246
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Abstract This paper proposes a stochastic multi-objective model for integration of distributed generations (DGs) in distribution networks. The proposed model determines the optimal location and size of DGs by optimising different objective functions dependently and simultaneously subject to the operating constraints. If proper sizes of DGs are located in suitable sites and are also managed properly they can improve integrity, reliability and efficiency of the system. Regarding the widespread impact of uncertainties, some strategies must be devised in order to incorporate them well into power system modelling and hence achieve the best possible strategy to be adopted which its characteristics keep closer to reality. The most important uncertainties in network planning are load forecasting and market price errors. The proposed scheme is solved using non-dominated sorting genetic algorithms II, allowing the distribution company (DisCo) to exercise his/her personal preferences. To validate the effectiveness of the proposed scheme, simulations are carried out on a 33-bus distribution network and finally the attained results are discussed.
AbstractList This paper proposes a stochastic multi-objective model for integration of distributed generations (DGs) in distribution networks. The proposed model determines the optimal location and size of DGs by optimising different objective functions dependently and simultaneously subject to the operating constraints. If proper sizes of DGs are located in suitable sites and are also managed properly they can improve integrity, reliability and efficiency of the system. Regarding the widespread impact of uncertainties, some strategies must be devised in order to incorporate them well into power system modelling and hence achieve the best possible strategy to be adopted which its characteristics keep closer to reality. The most important uncertainties in network planning are load forecasting and market price errors. The proposed scheme is solved using non-dominated sorting genetic algorithms II, allowing the distribution company (DisCo) to exercise his/her personal preferences. To validate the effectiveness of the proposed scheme, simulations are carried out on a 33-bus distribution network and finally the attained results are discussed.
Author Jannati Oskuee, Mohammad Reza
Najafi Ravadanegh, Sajad
Karimi, Masoumeh
Amroony Boushehry, Mohammad Javad
Author_xml – sequence: 1
  givenname: Masoumeh
  surname: Karimi
  fullname: Karimi, Masoumeh
  organization: Smart Distribution Grid Research Lab, Electrical Engineering Department, Azarbaijan Shahid Madani University
– sequence: 2
  givenname: Mohammad Reza
  surname: Jannati Oskuee
  fullname: Jannati Oskuee, Mohammad Reza
  organization: Smart Distribution Grid Research Lab, Electrical Engineering Department, Azarbaijan Shahid Madani University
– sequence: 3
  givenname: Mohammad Javad
  surname: Amroony Boushehry
  fullname: Amroony Boushehry, Mohammad Javad
  organization: Smart Distribution Grid Research Lab, Electrical Engineering Department, Azarbaijan Shahid Madani University
– sequence: 4
  givenname: Sajad
  surname: Najafi Ravadanegh
  fullname: Najafi Ravadanegh, Sajad
  email: s.najafi@azaruniv.edu
  organization: Smart Distribution Grid Research Lab, Electrical Engineering Department, Azarbaijan Shahid Madani University
BookMark eNqFkM1q3TAQRkVJIbdpHiGgB6hvJfmfblpC0xYC2TRrI8ujmwnyyEhyQl6qzxg5N91k0c5CA-I738D5wE7IEzB2IcVeik58FrIqRVuLvRKy2UulVF_X79hOyUYVnaqaE7bbMsUWOmXnMd6LPFUv-lbs2J-bJeGsHV-cJkI6cG_5hDEFHNcEEz8AQdAJPfFHTHdcL4tDc_zI0Xl1CQs_3oNJ-ABcu4MPOTdzJOPWaWsE48nPaD5xoAcMnmaglE9qmngCc0e5z3GMcYV4PJKBiBOEjV7JQEgaKSHEj-y91S7C-es-Y7dX339f_iyub378uvx2XZhSilRURjcSuk6Y_BqoR902Yw-qL21lWqlM30-TsWNX1lZ1QtmyKquc0baBsh7b8ozVx14TfIwB7LCErCk8DVIMm_fhr_dh8z68es_clzecwfQiKwWN7r_01yONZH2Y9aMPbhqSfnI-2KDJYBzKf1c8A043pC8
CitedBy_id crossref_primary_10_1080_01430750_2018_1451372
crossref_primary_10_1049_rpg2_13004
crossref_primary_10_1080_01430750_2018_1501739
crossref_primary_10_1080_23311916_2020_1766394
crossref_primary_10_1007_s13369_022_06951_x
crossref_primary_10_1109_ACCESS_2021_3058746
crossref_primary_10_1080_01430750_2019_1587723
Cites_doi 10.1016/j.epsr.2009.12.021
10.1109/TPWRD.2012.2222936
10.1016/j.ijepes.2010.08.024
10.15676/ijeei.2016.8.1.4
10.1016/S0378-7796(01)00101-8
10.1109/TSMCA.2004.824873
10.1016/j.ijepes.2011.08.023
10.1109/TPWRS.2012.2200049
10.1016/j.ijepes.2013.02.014
10.1016/j.ijepes.2012.10.043
10.1016/S0142-0615(00)00040-5
10.1016/j.enconman.2012.09.002
10.1109/TPWRS.2008.2009483
10.1016/j.energy.2013.12.037
10.1016/j.energy.2013.01.043
10.1016/j.ijepes.2010.01.029
10.1080/14786451.2015.1053393
10.1162/evco.1994.2.3.221
10.1142/S0218126616500250
10.1016/j.ijepes.2006.02.003
10.1016/j.epsr.2008.12.007
10.1080/01430750.2015.1031407
10.1109/TPWRD.2011.2158246
10.1109/TPWRS.2004.836189
ContentType Journal Article
Copyright 2016 Informa UK Limited, trading as Taylor & Francis Group 2016
Copyright_xml – notice: 2016 Informa UK Limited, trading as Taylor & Francis Group 2016
DBID AAYXX
CITATION
DOI 10.1080/01430750.2016.1222955
DatabaseName CrossRef
DatabaseTitle CrossRef
DatabaseTitleList
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EISSN 2162-8246
EndPage 857
ExternalDocumentID 10_1080_01430750_2016_1222955
1222955
Genre Article
GroupedDBID .7F
.QJ
0BK
0R~
30N
4.4
AAENE
AAGDL
AAHIA
AAJMT
AALDU
AAMIU
AAPUL
AAQRR
ABCCY
ABFIM
ABJNI
ABLIJ
ABPAQ
ABPEM
ABTAI
ABXUL
ABXYU
ACGFS
ACTIO
ADCVX
ADGTB
AEISY
AEOZL
AEPSL
AEYOC
AFRVT
AGDLA
AGMYJ
AHDZW
AIJEM
AIYEW
AKBVH
AKOOK
ALMA_UNASSIGNED_HOLDINGS
ALQZU
AQRUH
AQTUD
AVBZW
AWYRJ
BLEHA
CCCUG
DGEBU
DKSSO
EBS
EJD
E~A
E~B
GTTXZ
H13
HF~
HZ~
H~P
IPNFZ
J.P
KYCEM
M4Z
NA5
NX~
O9-
P2P
RIG
RNANH
ROSJB
RTWRZ
S-T
SNACF
TASJS
TBQAZ
TDBHL
TEN
TFL
TFT
TFW
TTHFI
TUROJ
UT5
UU3
ZGOLN
~S~
AAYXX
CITATION
ID FETCH-LOGICAL-c310t-4ca61e880c1e8ce5ba76b9e293f4c712c99ddcfb835f2802f3434a76af6e35b73
IEDL.DBID TFW
ISICitedReferencesCount 11
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000423943600013&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 0143-0750
IngestDate Sat Nov 29 05:50:11 EST 2025
Tue Nov 18 21:42:17 EST 2025
Mon Oct 20 23:44:23 EDT 2025
IsPeerReviewed true
IsScholarly true
Issue 8
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c310t-4ca61e880c1e8ce5ba76b9e293f4c712c99ddcfb835f2802f3434a76af6e35b73
PageCount 9
ParticipantIDs informaworld_taylorfrancis_310_1080_01430750_2016_1222955
crossref_citationtrail_10_1080_01430750_2016_1222955
crossref_primary_10_1080_01430750_2016_1222955
PublicationCentury 2000
PublicationDate 2017-11-17
PublicationDateYYYYMMDD 2017-11-17
PublicationDate_xml – month: 11
  year: 2017
  text: 2017-11-17
  day: 17
PublicationDecade 2010
PublicationTitle International journal of ambient energy
PublicationYear 2017
Publisher Taylor & Francis
Publisher_xml – name: Taylor & Francis
References CIT0010
CIT0020
CIT0001
CIT0012
CIT0023
CIT0011
CIT0022
CIT0003
CIT0025
CIT0014
CIT0002
CIT0013
CIT0024
CIT0005
CIT0016
CIT0027
CIT0004
CIT0026
CIT0018
CIT0006
CIT0017
CIT0009
CIT0008
CIT0019
References_xml – ident: CIT0001
  doi: 10.1016/j.epsr.2009.12.021
– ident: CIT0026
  doi: 10.1109/TPWRD.2012.2222936
– ident: CIT0027
  doi: 10.1016/j.ijepes.2010.08.024
– ident: CIT0006
  doi: 10.15676/ijeei.2016.8.1.4
– ident: CIT0003
  doi: 10.1016/S0378-7796(01)00101-8
– ident: CIT0011
  doi: 10.1109/TSMCA.2004.824873
– ident: CIT0018
  doi: 10.1016/j.ijepes.2011.08.023
– ident: CIT0004
  doi: 10.1109/TPWRS.2012.2200049
– ident: CIT0010
  doi: 10.1016/j.ijepes.2013.02.014
– ident: CIT0023
  doi: 10.1016/j.ijepes.2012.10.043
– ident: CIT0009
  doi: 10.1016/S0142-0615(00)00040-5
– ident: CIT0019
  doi: 10.1016/j.enconman.2012.09.002
– ident: CIT0020
  doi: 10.1109/TPWRS.2008.2009483
– ident: CIT0005
  doi: 10.1016/j.energy.2013.12.037
– ident: CIT0025
  doi: 10.1016/j.energy.2013.01.043
– ident: CIT0012
  doi: 10.1016/j.ijepes.2010.01.029
– ident: CIT0014
  doi: 10.1080/14786451.2015.1053393
– ident: CIT0022
  doi: 10.1162/evco.1994.2.3.221
– ident: CIT0016
  doi: 10.1142/S0218126616500250
– ident: CIT0008
  doi: 10.1016/j.ijepes.2006.02.003
– ident: CIT0013
  doi: 10.1016/j.epsr.2008.12.007
– ident: CIT0017
  doi: 10.1080/01430750.2015.1031407
– ident: CIT0002
  doi: 10.1109/TPWRD.2011.2158246
– ident: CIT0024
  doi: 10.1109/TPWRS.2004.836189
SSID ssj0000490970
Score 2.131008
Snippet This paper proposes a stochastic multi-objective model for integration of distributed generations (DGs) in distribution networks. The proposed model determines...
SourceID crossref
informaworld
SourceType Enrichment Source
Index Database
Publisher
StartPage 849
SubjectTerms Distributed generation sitting and sizing
electric distribution system
genetic algorithm
multi-objective
scenario based-stochastic programming
uncertainty modelling
Title Optimal planning of distributed generation with application of multi-objective algorithm including economic, environmental and technical issues with considering uncertainties
URI https://www.tandfonline.com/doi/abs/10.1080/01430750.2016.1222955
Volume 38
WOSCitedRecordID wos000423943600013&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: PRVAWR
  databaseName: Taylor & Francis Journals Complete
  customDbUrl:
  eissn: 2162-8246
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0000490970
  issn: 0143-0750
  databaseCode: TFW
  dateStart: 19800101
  isFulltext: true
  titleUrlDefault: https://www.tandfonline.com
  providerName: Taylor & Francis
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV07T8MwELZQxQADb0R5yQMjLk3iJvGIEBVTYSiiW-Rc7KqoL_XBz-I3che7VToAAyyZ7uJEd_ad7bvvY-xGSxXg5iQWFgoppAYpVFMGIjRGBgXglsg4somk00l7PfXiqwnnvqyS9tDWAUWUazVNbp3PVxVxdwRJR5GOCrPiRlAyUlObOWb25OPd9tv6lIXutVTJGEdKgrRWbTzfvWgjQG3Al1YCT3v_Hz75gO35rJPfOzc5ZFtmfMR2K1iEx-zzGRePEQpNPY0Rn1heEKwuMWKZgvdLgGqyI6fDW165-ibRsjJRTPJ3t4JyPexPZig34oMxDJcUIrnxXdC3vNJfh0Pib3EHJosew0tXmLtBwPOJkjZGYFe_QBiwJ-y1_dh9eBKezEEAZpALIUHHgcHVAvAJppXrJM6VwWzDSkiCEJQqCrA5ZoQ2TJuhjWQkUUbb2EStPIlOWW08GZszxuNcAiSglbLkaqnOIcBdkw5NksooSetMriyYgUc6J8KNYRasAFG9OTIyR-bNUWeNtdrUQX38pqCq7pEtyjMW6whRsuhH3fM_6F6wnZCSCypGTC5ZbTFbmiu2DR-LwXx2XU6AL1huBb0
linkProvider Taylor & Francis
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV07T8MwELagIAEDb8QbD4wYSOIm8YgQFYhSliLYIudiV0WlQaXlZ_EbuYsTlA7AAEsmX5zozvewz9_H2LGWysPiJBQWMimkBinUufSEb4z0MsCSyDiyiajTiZ-eVP0uDLVVUg1tHVBE4atpcdNmdNUSd0aYdBTqqDMrPPUKSurmLJtrYqyltr5u6_Frn4VOtlTBGUdSgsSqizzfvWkqRE0BmNZCT2vlPz56lS2XiSe_cJayxmbMcJ0t1eAIN9jHPfqPFxz0WjIZ8dzyjJB1iRTLZLxXYFSTKjnt3_La6TcNLZoTRZ4-OyfK9aCXj3DcC-8PYTChKMlNeRH6hNeu2OGU-F_c4cmi0fDCGt7cJFBSipI0BmHXwkAwsJvsoXXVvbwWJZ-DAEwix0KCDj2DDgPwCaaZ6ihMlcGEw0qIPB-UyjKwKSaF1o_PfRvIQOIYbUMTNNMo2GKNYT4024yHqQSIQCtlydpinYKHhZP2TRTLIIp3mKxUmEAJdk6cG4PEqzBRS3UkpI6kVMcOO_0Se3VoH78JqLp9JONim8U6TpQk-FF29w-yR2zhunvXTto3nds9tuhTrkG9idE-a4xHE3PA5uF93H8bHRar4RO_Ygne
linkToPdf http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1LT8MwDI54CcGBN-JNDhwJ0DZrmyMCJhBocADBrUrdBIHGNm2Dn8VvxE4yVA7AAS492U0rO7aTON_H2J6WKsLFSSosVFJIDVKoIxmJ2BgZVYBLIuPJJrJWK394UDehm3AQ2ippDW09UISL1TS5e5UddcQdEiQdZTpqzEoPIsdI3Rhnkw4cC136tnn_uc1CB1vKUcaRliC10T2e7970JUN9wS-tZZ7m_D988wKbC2UnP_Z-ssjGTGeJzdbACJfZ-zVGjxcU6gUeI961vCJcXaLEMhV_dAjVZEhOu7e8dvZNoq41UXTLZx9CuW4_dvso98KfOtB-pRzJTbgGvc9rF-xwSPwt7tFk0WW484WBHwQCoShpYwr2DQwEArvC7ppntyfnIrA5CMAScigk6DQyGC4An2Aapc7SUhksN6yELIpBqaoCW2JJaOP8KLaJTCTKaJuapFFmySqb6HQ7Zo3xtJQAGWilLPlarkuIcNmkY5PlMsnydSZHFiwgQJ0T40a7iEaIqMEcBZmjCOZYZwefaj2P9fGbgqq7RzF0myzWM6IUyY-6G3_Q3WXTN6fN4uqidbnJZmIqNKgxMdtiE8P-q9lmU_A2fBr0d9xc-ABwSAiC
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=Optimal+planning+of+distributed+generation+with+application+of+multi-objective+algorithm+including+economic%2C+environmental+and+technical+issues+with+considering+uncertainties&rft.jtitle=International+journal+of+ambient+energy&rft.au=Karimi%2C+Masoumeh&rft.au=Jannati+Oskuee%2C+Mohammad+Reza&rft.au=Amroony+Boushehry%2C+Mohammad+Javad&rft.au=Najafi+Ravadanegh%2C+Sajad&rft.date=2017-11-17&rft.pub=Taylor+%26+Francis&rft.issn=0143-0750&rft.eissn=2162-8246&rft.volume=38&rft.issue=8&rft.spage=849&rft.epage=857&rft_id=info:doi/10.1080%2F01430750.2016.1222955&rft.externalDocID=1222955
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0143-0750&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0143-0750&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0143-0750&client=summon