Application of Chaotic Particle Swarm Optimization to Reactive Power Optimization

摘要：

By incorporating Chaotic search into Particle Swarm Optimization (CPSO),this paper proposed a novel method for reactive power optimization. First,to improve the optimizing performance,chaotic search was introduced which helps to overcome the premature convergence of standard PSO. Then,A shrinking strategy was applied to the local search range to further refine the search results. Finally the CPSO algorithm was employed to the reactive power optimization. Simulation results show that the proposed method has the advantages of more stability,higher optimizing precision and strong global searching ability. The CPSO is a promising approach for the reactive power optimization.

关键词： PSO Chaotic search CPSO Reactive power optimization

作者: Yongmei Jiao Jidong Zhang Dongli Jia

作者单位: Handan Branch,Hebei University of Science and Technology,Handan 056038,China College of Water Conservancy and Electric Power,Hebei University of Engineering,Handan 056038,China School of Information and Electrical Engineering,Hebei University of Engineering Handan 056038,China

会议类型: 国际会议

会议名称: 2011 International Conference on Opto-Electronics Engineering and Information Science(2011光电电子工程与信息科学国际会议 ICOEIS 2011)

会议地点: 西安

会议语种:英文

页码: 1351-1354

在线出版日期: 2011-12-23（万方平台首次上网日期，不代表论文的发表时间）