PSO algorithm for sitting and sizing of distributed generation to improve voltage profile and decreasing power losses

This paper presents a method for optimal sitting and sizing of Distributed Generation (DG) in distribution systems. In this paper, our aim would be optimal distributed generation allocation and sizing for voltage profile improvement, loss reduction in distribution networks. Particle Swarm Optimizati...

Full description

Saved in:
Bibliographic Details
Published in2012 Proceedings of 17th Conference on Electrical Power Distribution Networks pp. 1 - 5
Main Authors Mohammadi, M. T. Arab Yar, Faramarzi, M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2012
Subjects
Online AccessGet full text
ISBN1467314188
9781467314183

Cover

Abstract This paper presents a method for optimal sitting and sizing of Distributed Generation (DG) in distribution systems. In this paper, our aim would be optimal distributed generation allocation and sizing for voltage profile improvement, loss reduction in distribution networks. Particle Swarm Optimization (PSO) is used as the solving tool, which referring determined aim, the problem is defined and the objective function is introduced. Considering the fitness values sensitivity in PSO algorithm process, it is needed to apply load flow and harmonic calculations for decision-making. Finally, the feasibility of the proposed method is demonstrated for typical distribution network, and it is compared with the GA method in terms of the solution quality and computation efficiency. The experimental results show that the proposed PSO method is indeed capable of obtaining higher quality solutions efficiently.
AbstractList This paper presents a method for optimal sitting and sizing of Distributed Generation (DG) in distribution systems. In this paper, our aim would be optimal distributed generation allocation and sizing for voltage profile improvement, loss reduction in distribution networks. Particle Swarm Optimization (PSO) is used as the solving tool, which referring determined aim, the problem is defined and the objective function is introduced. Considering the fitness values sensitivity in PSO algorithm process, it is needed to apply load flow and harmonic calculations for decision-making. Finally, the feasibility of the proposed method is demonstrated for typical distribution network, and it is compared with the GA method in terms of the solution quality and computation efficiency. The experimental results show that the proposed PSO method is indeed capable of obtaining higher quality solutions efficiently.
Author Mohammadi, M. T. Arab Yar
Faramarzi, M.
Author_xml – sequence: 1
  givenname: M. T. Arab Yar
  surname: Mohammadi
  fullname: Mohammadi, M. T. Arab Yar
  organization: Golestan Province Electricity Distribution Company
– sequence: 2
  givenname: M.
  surname: Faramarzi
  fullname: Faramarzi, M.
  organization: Golestan Province Electricity Distribution Company
BookMark eNotT9tKAzEUDKigrf0CX_IDC5vrZh-leINCBftezjYna2Q3WZK0ol_vVp2XmYGZgVmQyxADXpAFk7oRTDJjrskq5496RmMYE-qGHF_fthSGPiZf3kfqYqLZl-JDTyHYWX-fZXTU-lyS744FLe0xYILiY6AlUj9OKZ6QnuJQoEc6O-cH_O1bPCSEfN6Y4icmOsScMd-SKwdDxtU_L8nu8WG3fq4226eX9f2m8m1dKisZ1sIpBg3TynGuD-DAImBTAzfcMclFpxXUDnVrZDMnBLTz2c44LZRYkru_WY-I-yn5EdLXXnMlWi3ED2N_V84
ContentType Conference Proceeding
DBID 6IE
6IL
CBEJK
RIE
RIL
DatabaseName IEEE Electronic Library (IEL) Conference Proceedings
IEEE Xplore POP ALL
IEEE Xplore All Conference Proceedings
IEEE Electronic Library (IEL)
IEEE Proceedings Order Plans (POP All) 1998-Present
DatabaseTitleList
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://proxy.k.utb.cz/login?url=https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
EndPage 5
ExternalDocumentID 6253963
Genre orig-research
GroupedDBID 6IE
6IF
6IK
6IL
6IN
AAJGR
AAWTH
ADFMO
ALMA_UNASSIGNED_HOLDINGS
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
CBEJK
IEGSK
IERZE
OCL
RIE
RIL
ID FETCH-LOGICAL-i90t-d41e03f51a7165f226cafadeae70a282f1423b65a0fe698472263a9673b8f6353
IEDL.DBID RIE
ISBN 1467314188
9781467314183
IngestDate Wed Aug 27 04:31:45 EDT 2025
IsPeerReviewed false
IsScholarly false
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-i90t-d41e03f51a7165f226cafadeae70a282f1423b65a0fe698472263a9673b8f6353
PageCount 5
ParticipantIDs ieee_primary_6253963
PublicationCentury 2000
PublicationDate 2012-May
PublicationDateYYYYMMDD 2012-05-01
PublicationDate_xml – month: 05
  year: 2012
  text: 2012-May
PublicationDecade 2010
PublicationTitle 2012 Proceedings of 17th Conference on Electrical Power Distribution Networks
PublicationTitleAbbrev EPDC
PublicationYear 2012
Publisher IEEE
Publisher_xml – name: IEEE
SSID ssj0000781135
Score 1.523037
Snippet This paper presents a method for optimal sitting and sizing of Distributed Generation (DG) in distribution systems. In this paper, our aim would be optimal...
SourceID ieee
SourceType Publisher
StartPage 1
SubjectTerms Distributed Generation
Distributed power generation
Harmonic analysis
Load flow
Particle swarm optimization
Planning
power losses
PSO
Resource management
Voltage Profile
Title PSO algorithm for sitting and sizing of distributed generation to improve voltage profile and decreasing power losses
URI https://ieeexplore.ieee.org/document/6253963
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3fS8MwEA7bnnxS2cTf5MFHO9M1ydJncQxhOnDC3kaaXOZwtqLty_56L2k3UXwQ-nANlIRLyX13ufuOkCtuuVTOsAic1BFXLI2U1iKymRUmAcNtYGKaPMjxM7-fi3mLXO9qYQAgJJ9B34vhLt8WpvKhshvE6gn-MG3SHipZ12rt4imetCZORKjdksMk5rFSW0qn5j350UElGJDRPplsp67zRl77VZn1zeYXK-N_13ZAet-lenS6M0KHpAV5l1TTp0eq18sCPf-XN4q4lH6uQoIz1blFeePFwlHraXN9xyuwdBkIqP0-0bKgqxBsAIqnV4lHDm16e4fvbYCaPshA332TNbou_NVxj8xGd7PbcdT0V4hWKSsjy2NgiROxRp9JOMRhRjttQcOQafTEXIxQK5NCMwcyVZ5VUiY6RWVmyiFOSY5IJy9yOCbUCUQN0oEdGMllNkgZN1IzLfGRsclOSNdrbPFeM2gsGmWd_j18RvYQlgzqtMJz0ik_KrhA019ml2HPvwC2BrDO
linkProvider IEEE
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1LT8JAEN4gHvSkBoxv9-DR4pZ90J6NBBWQREy4ke0-kIgt0fbCr3d2WzAaDyY9TDdp2sw2u9_MznwfQldMMxFZRQJjhQxYROIgkpIHOtFcUaOY9kxMg6HovbCHCZ_U0PWmF8YY44vPTMuZ_ixfZ6pwqbIbwOoUfpgttM0ZY7zs1tpkVBxtTUi5794SHRqyMIrWpE7VPf2hoeK3kO4eGqxfXlaOvLWKPGmp1S9exv9-3T5qfjfr4dFmGzpANZM2UDF6fsJyMcsg9n99x4BM8efclzhjmWqwV87MLNaOONdpXhmNZ56C2s0UzjM89-kGg2H9ymHRwZW6t39ee7Dp0gx46WTW8CJzh8dNNO7ejW97QaWwEMxjkgeahYZQy0MJURO3gMSUtFIbaTpEQixmQwBbieCSWCPiyPFKCipjcGYSWUAq9BDV0yw1RwhbDrhBWKPbSjCRtGPClJBECrhEqJJj1HAemy5LDo1p5ayTv4cv0U5vPOhP-_fDx1O0CyClXRYZnqF6_lGYcwACeXLh5_8LJJe0Gw
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%3Abook&rft.genre=proceeding&rft.title=2012+Proceedings+of+17th+Conference+on+Electrical+Power+Distribution+Networks&rft.atitle=PSO+algorithm+for+sitting+and+sizing+of+distributed+generation+to+improve+voltage+profile+and+decreasing+power+losses&rft.au=Mohammadi%2C+M.+T.+Arab+Yar&rft.au=Faramarzi%2C+M.&rft.date=2012-05-01&rft.pub=IEEE&rft.isbn=9781467314183&rft.spage=1&rft.epage=5&rft.externalDocID=6253963
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=9781467314183/lc.gif&client=summon&freeimage=true
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=9781467314183/mc.gif&client=summon&freeimage=true
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=9781467314183/sc.gif&client=summon&freeimage=true