Multi-objective optimization of distribution network reconfiguration considering adjusting the output of distributed generation

Distribution network reconfiguration can improve the operation economy and safety of the network, while distributed generation injected to distributed network directly affects flow distribution and has a greater impact on network reconfiguration. Considering the impact of distributed generation on n...

Full description

Saved in:
Bibliographic Details
Published in:Dianli Xitong Baohu yu Kongzhi Vol. 40; no. 18; pp. 117 - 122
Main Authors: Wang, Shao-Lin, Tang, Wei, Bai, Mu-Ke, Lu, Tao, Zhang, Li-Mei, Guan, Hong-Hao
Format: Journal Article
Language:Chinese
Published: 16.09.2012
Subjects:
Algorithms
Ant colony optimization
Genetic algorithms
Mathematical models
Networks
Optimization
Reconfiguration
Switching theory
ISSN:1674-3415
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract Distribution network reconfiguration can improve the operation economy and safety of the network, while distributed generation injected to distributed network directly affects flow distribution and has a greater impact on network reconfiguration. Considering the impact of distributed generation on network reconfiguration, this paper makes switch status and DG output as the optimization variables, and establishes a multi-objective optimization model which takes network loss and load balancing rate as the objective functions. The paper puts forward a multi-objective mixed optimization method combining spanning tree and ant colony algorithm with genetic algorithm, which realizes the collaborative optimization of distributed network structure and DG output. This method uses ant colony algorithm based on spanning tree to reconstruct the distribution network in order to guarantee the network topology constraint, and uses genetic algorithm based on Pareto dominance to optimize the output of DG output. Simulation res
AbstractList Distribution network reconfiguration can improve the operation economy and safety of the network, while distributed generation injected to distributed network directly affects flow distribution and has a greater impact on network reconfiguration. Considering the impact of distributed generation on network reconfiguration, this paper makes switch status and DG output as the optimization variables, and establishes a multi-objective optimization model which takes network loss and load balancing rate as the objective functions. The paper puts forward a multi-objective mixed optimization method combining spanning tree and ant colony algorithm with genetic algorithm, which realizes the collaborative optimization of distributed network structure and DG output. This method uses ant colony algorithm based on spanning tree to reconstruct the distribution network in order to guarantee the network topology constraint, and uses genetic algorithm based on Pareto dominance to optimize the output of DG output. Simulation res
Author Bai, Mu-Ke
Lu, Tao
Wang, Shao-Lin
Zhang, Li-Mei
Tang, Wei
Guan, Hong-Hao
Author_xml – sequence: 1
  givenname: Shao-Lin
  surname: Wang
  fullname: Wang, Shao-Lin
– sequence: 2
  givenname: Wei
  surname: Tang
  fullname: Tang, Wei
– sequence: 3
  givenname: Mu-Ke
  surname: Bai
  fullname: Bai, Mu-Ke
– sequence: 4
  givenname: Tao
  surname: Lu
  fullname: Lu, Tao
– sequence: 5
  givenname: Li-Mei
  surname: Zhang
  fullname: Zhang, Li-Mei
– sequence: 6
  givenname: Hong-Hao
  surname: Guan
  fullname: Guan, Hong-Hao
BookMark eNqFkD1PwzAYhD0UiVL6HzKyRMobfyQeUcWXVMQCc-WPN8EltUNsg8TCX6cQFiamu5PunuHOyMIHjwuyBNGwkjLgp2Qdo9NVRYFz0col-bzPQ3Jl0Hs0yb1hEcbkDu5DJRd8EbrCupgmp_NP9pjew_RSTGiC71yfp7l3TNFZnJzvC2X3OaZvl56PuJzGnP6A0BY9epyn5-SkU0PE9a-uyNP11ePmttw-3NxtLrflCFSk0nLQnIFGBkwL2YJkjbJc2lozUIhMS9VRoxRKgWgqjqgtCCuEMAq5pCtyMXPHKbxmjGl3cNHgMCiPIccdNBVUIFhD_6_SmtZwvK-lX6y2cd0
ContentType Journal Article
DBID 7SP
7TB
8FD
FR3
KR7
L7M
DatabaseName Electronics & Communications Abstracts
Mechanical & Transportation Engineering Abstracts
Technology Research Database
Engineering Research Database
Civil Engineering Abstracts
Advanced Technologies Database with Aerospace
DatabaseTitle Civil Engineering Abstracts
Engineering Research Database
Technology Research Database
Mechanical & Transportation Engineering Abstracts
Advanced Technologies Database with Aerospace
Electronics & Communications Abstracts
DatabaseTitleList Civil Engineering Abstracts
Civil Engineering Abstracts
DeliveryMethod fulltext_linktorsrc
EndPage 122
GroupedDBID -03
7SP
7TB
8FD
ALMA_UNASSIGNED_HOLDINGS
CCEZO
CEKLB
FR3
GROUPED_DOAJ
KR7
L7M
ID FETCH-LOGICAL-p136t-d51b541be414b6981947ad59d2b41aee4b9af3caae96eec05eebd16d666cae593
ISSN 1674-3415
IngestDate Fri Jul 11 07:42:20 EDT 2025
Sun Nov 09 12:07:47 EST 2025
IsPeerReviewed true
IsScholarly true
Issue 18
Language Chinese
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-p136t-d51b541be414b6981947ad59d2b41aee4b9af3caae96eec05eebd16d666cae593
Notes ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ObjectType-Article-1
ObjectType-Feature-2
PQID 1323215688
PQPubID 23500
PageCount 6
ParticipantIDs proquest_miscellaneous_1701016473
proquest_miscellaneous_1323215688
PublicationCentury 2000
PublicationDate 20120916
PublicationDateYYYYMMDD 2012-09-16
PublicationDate_xml – month: 09
  year: 2012
  text: 20120916
  day: 16
PublicationDecade 2010
PublicationTitle Dianli Xitong Baohu yu Kongzhi
PublicationYear 2012
SSID ssib003155689
ssib023166999
ssib002424069
ssj0002912115
ssib051374514
ssib036435463
Score 2.0902586
Snippet Distribution network reconfiguration can improve the operation economy and safety of the network, while distributed generation injected to distributed network...
SourceID proquest
SourceType Aggregation Database
StartPage 117
SubjectTerms Algorithms
Ant colony optimization
Genetic algorithms
Mathematical models
Networks
Optimization
Reconfiguration
Switching theory
Title Multi-objective optimization of distribution network reconfiguration considering adjusting the output of distributed generation
URI https://www.proquest.com/docview/1323215688
https://www.proquest.com/docview/1701016473
Volume 40
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVAON
  databaseName: DOAJ Directory of Open Access Journals
  issn: 1674-3415
  databaseCode: DOA
  dateStart: 20080101
  customDbUrl:
  isFulltext: true
  dateEnd: 99991231
  titleUrlDefault: https://www.doaj.org/
  omitProxy: false
  ssIdentifier: ssj0002912115
  providerName: Directory of Open Access Journals
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3Pb9MwFLbYxIELGgLEbxkJcYks1bGdxMcNNiEtFA4d9FY5sb12GklZEzR24V_n2fGSdEhoHLhEjeVaat-n5-_Z770PoTcGogZhqCSGWwhQYlYSVVhLqC0zI6xh1qs1fMnT6TSbz-XnkFa08XICaVVll5dy_V9NDWNgbFc6-w_m7heFAfgMRocnmB2etzK8L6kldXHWubKoBqfwLVRbOmqoXavcoHIVVV0WeOTjYrs6bQMgyqDj6UsY9ZmT_AplVXXbrNtmayHgrKe-e3Vv5MB23wP2zlfRHLwGfPtA1cs2-tlGx_B2tVwNZ_nhyHqpapKvhszgMP7V9FMPOvHsjy057gGZtx5zqh4fYLhMEEm6-srgc5OUE9hMxdgpdz2crsGXjVws7Wo9w25Nu6rm7Uba00-Lo5M8X8wO57O36-_EaYy5u_gguLKDdtiEj8LvQFVcEfDI17nebP070OAkkUPoxoDJjZUEBGUpF-FG2rGAWLrmeS6Dtv99f2z3nsPM9tD9EHzg_Q40D9Cdq-VD9OsGYPAYMLi2eAwYHACDbwAGjwCDe8BgAAzuALO1kNF4AMwjdHJ0OHv3gQRZDrKmLGmIFrQQnBaGU14kEiglT5UWUscFp8oYXkhlWamUkYkx5UQYU2iaaAiUS2WEZI_RblVX5gnCKrWWZslEyVgDk9eFsekks7HklrnOfU_R6-t_bAFuz91lqcrU7WZBGYQCFCyU_WVO6hso8pQ9u8Wc5-jegM4XaLe5aM1LdLf80aw2F688WH4D7euN_g
linkProvider Directory of Open Access Journals
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=Multi-objective+optimization+of+distribution+network+reconfiguration+considering+adjusting+the+output+of+distributed+generation&rft.jtitle=Dianli+Xitong+Baohu+yu+Kongzhi&rft.au=Wang%2C+Shao-Lin&rft.au=Tang%2C+Wei&rft.au=Bai%2C+Mu-Ke&rft.au=Lu%2C+Tao&rft.date=2012-09-16&rft.issn=1674-3415&rft.volume=40&rft.issue=18&rft.spage=117&rft.epage=122&rft.externalDBID=NO_FULL_TEXT
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1674-3415&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1674-3415&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1674-3415&client=summon