SIA OpenIR  > 信息服务与智能控制技术研究室
Improved multi-objective artificial bee colony algorithm for optimal power flow problem
Ma LB(马连博); Hu KY(胡琨元); Zhu YL(朱云龙); Chen HN(陈瀚宁)
Department信息服务与智能控制技术研究室
Source PublicationJOURNAL OF CENTRAL SOUTH UNIVERSITY
ISSN2095-2899
2014
Volume21Issue:11Pages:4220-4227
Indexed BySCI ; EI
EI Accession number20150100392355
WOS IDWOS:000345081500023
Contribution Rank1
Funding OrganizationNational Natural Science Foundation of China [61105067, 61174164]
KeywordCooperative Artificial Colony Algorithm Optimal Power Flow Multi-objective Optimization
AbstractThe artificial bee colony (ABC) algorithm is improved to construct a hybrid multi-objective ABC algorithm, called HMOABC, for resolving optimal power flow (OPF) problem by simultaneously optimizing three conflicting objectives of OPF, instead of transforming multi-objective functions into a single objective function. The main idea of HMOABC is to extend original ABC algorithm to multi-objective and cooperative mode by combining the Pareto dominance and divide-and-conquer approach. HMOABC is then used in the 30-bus IEEE test system for solving the OPF problem considering the cost, loss, and emission impacts. The simulation results show that the HMOABC is superior to other algorithms in terms of optimization accuracy and computation robustness.
Language英语
WOS HeadingsScience & Technology ; Technology
WOS SubjectMetallurgy & Metallurgical Engineering
WOS KeywordGENETIC ALGORITHM ; OPTIMIZATION ; EVOLUTION
WOS Research AreaMetallurgy & Metallurgical Engineering
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/15451
Collection信息服务与智能控制技术研究室
Corresponding AuthorMa LB(马连博)
Affiliation1.Department of Information Service and Intelligent Control, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
2.University of Chinese Academy of Sciences, Beijing, China
Recommended Citation
GB/T 7714
Ma LB,Hu KY,Zhu YL,et al. Improved multi-objective artificial bee colony algorithm for optimal power flow problem[J]. JOURNAL OF CENTRAL SOUTH UNIVERSITY,2014,21(11):4220-4227.
APA Ma LB,Hu KY,Zhu YL,&Chen HN.(2014).Improved multi-objective artificial bee colony algorithm for optimal power flow problem.JOURNAL OF CENTRAL SOUTH UNIVERSITY,21(11),4220-4227.
MLA Ma LB,et al."Improved multi-objective artificial bee colony algorithm for optimal power flow problem".JOURNAL OF CENTRAL SOUTH UNIVERSITY 21.11(2014):4220-4227.
Files in This Item: Download All
File Name/Size DocType Version Access License
Improved multi-objec(908KB)期刊论文作者接受稿开放获取ODC PDDLView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Ma LB(马连博)]'s Articles
[Hu KY(胡琨元)]'s Articles
[Zhu YL(朱云龙)]'s Articles
Baidu academic
Similar articles in Baidu academic
[Ma LB(马连博)]'s Articles
[Hu KY(胡琨元)]'s Articles
[Zhu YL(朱云龙)]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Ma LB(马连博)]'s Articles
[Hu KY(胡琨元)]'s Articles
[Zhu YL(朱云龙)]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Improved multi-objective artificial bee colony algorithm for optimal power flow problem.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.