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    题名: A Novel adaptive elite-based particle swarm optimization applied to VAR optimization in electric power systems
    作者: 林法正;Hong, Ying-Yi;Lin, Faa-Jeng;Chen, Syuan-Yi;Lin, Yu-Chun;Hsu, Fu-Yuan
    贡献者: 資訊電機學院電機工程學系
    关键词: Adaptive systems;Atoms & subatomic particles;Cloning;Electric power systems;Electrical engineering;Evolutionary algorithms;Evolutionary computation;Genetic algorithms;Heuristic;Mathematical analysis;Mutation;Optimization;Optimization algorithms;Particle swarm optimization;Population;Searching;Solution space;Standard deviation;Strategy;Swarm intelligence
    日期: 2014-01-01
    上传时间: 2026-04-23 13:20:07 (UTC+8)
    出版者: Hindawi Publishing Corporation;New York: Hindawi Publishing Corporation
    摘要: 摘要: Particle swarm optimization (PSO) has been successfully applied to solve many practical engineering problems. However, more efficient strategies are needed to coordinate global and local searches in the solution space when the studied problem is extremely nonlinear and highly dimensional. This work proposes a novel adaptive elite-based PSO approach. The adaptive elite strategies involve the following two tasks: (1) appending the mean search to the original approach and (2) pruning/cloning particles. The mean search, leading to stable convergence, helps the iterative process coordinate between the global and local searches. The mean of the particles and standard deviation of the distances between pairs of particles are utilized to prune distant particles. The best particle is cloned and it replaces the pruned distant particles in the elite strategy. To evaluate the performance and generality of the proposed method, four benchmark functions were tested by traditional PSO, chaotic PSO, differential evolution, and genetic algorithm. Finally, a realistic loss minimization problem in an electric power system is studied to show the robustness of the proposed method.
    出版者: New York: Hindawi Publishing Corporation
    出版日期: 2014-01-01
    出處: Mathematical problems in engineering, 2014-01, Vol.2014 (1)
    資源來源: 華藝CEPS中文電子期刊服務
    版權: Copyright © 2014 Ying-Yi Hong et al.
    版權: Copyright © 2014 Ying-Yi Hong et al. Ying-Yi Hong et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
    識別號: ISSN: 1024-123X
    識別號: ISSN: 1026-7077
    識別號: ISSN: 1563-5147
    識別號: EISSN: 1563-5147
    識別號: DOI: 10.1155/2014/761403
    显示于类别:[電機工程學系] 期刊論文

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