An improved particle swarm algorithm and its application to power system transfer capability optimization | |
Peng, Si-jun; Zhang, Chang-hua; Tang, Liang; Li, K; Irwin, GW; Huang, DS | |
刊名 | COMPUTATIONAL INTELLIGENCE AND BIOINFORMATICS, PT 3, PROCEEDINGS
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2006 | |
卷号 | 4115页码:93-99 |
英文摘要 | In this paper, an algorithm based on PSO (Particle Swarm Optimization) for power system transfer capability calculation is presented. A dual fitness scheme that takes both objective and constraint into account is adopted to evaluate the survival chance of any particle, thus avoid the drawbacks of traditional penalty method. In the evolution process, if the population best particle has no update during a prescribed number of consecutive generations, it is regarded as a local optimum solution and the searching space around this particle is locked to prevent other particles flying into it. And this particle is saved as one of the candidate solution. In the end, by comparing the fitness of all saved particles and the current population best particle the optimum value can be obtained. This improved particle swarm algorithm is then successfully applied to IEEE118 bus system optimization problem. Compared with a traditional well-known method, sequential quadratic programming, our proposal obtains better solutions for this problem. |
WOS标题词 | Science & Technology ; Life Sciences & Biomedicine ; Technology |
类目[WOS] | Biochemical Research Methods ; Computer Science, Artificial Intelligence ; Computer Science, Information Systems ; Computer Science, Interdisciplinary Applications ; Computer Science, Theory & Methods |
研究领域[WOS] | Biochemistry & Molecular Biology ; Computer Science |
收录类别 | ISTP ; SCI |
语种 | 英语 |
WOS记录号 | WOS:000240085400010 |
公开日期 | 2015-12-24 |
内容类型 | 期刊论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/9363] ![]() |
专题 | 自动化研究所_09年以前成果 |
作者单位 | 1.Wuhan Univ Technol, Sch Sci, Wuhan 430070, Hubei Prov, Peoples R China 2.Chinese Acad Sci, Key Lab Complex Syst & Intelligence Sci, Inst Automat, Beijing 100080, Peoples R China 3.Tsing Hua Univ, Dept Automot Engn, Beijing 100084, Peoples R China |
推荐引用方式 GB/T 7714 | Peng, Si-jun,Zhang, Chang-hua,Tang, Liang,et al. An improved particle swarm algorithm and its application to power system transfer capability optimization[J]. COMPUTATIONAL INTELLIGENCE AND BIOINFORMATICS, PT 3, PROCEEDINGS,2006,4115:93-99. |
APA | Peng, Si-jun,Zhang, Chang-hua,Tang, Liang,Li, K,Irwin, GW,&Huang, DS.(2006).An improved particle swarm algorithm and its application to power system transfer capability optimization.COMPUTATIONAL INTELLIGENCE AND BIOINFORMATICS, PT 3, PROCEEDINGS,4115,93-99. |
MLA | Peng, Si-jun,et al."An improved particle swarm algorithm and its application to power system transfer capability optimization".COMPUTATIONAL INTELLIGENCE AND BIOINFORMATICS, PT 3, PROCEEDINGS 4115(2006):93-99. |
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