An Improved Particle Swarm Optimization for Reactive Power Optimization

摘要：

Reactive power optimization (RPO) is a complex combinatorial programming problem that reduces power losses and improve voltage profiles in a power system. In this paper, RPO is solved by using particle swarm optimization (PSO), while one problem exists in standard PSO is its tendency of trapping into local optima. To overcome this drawback, an improved particle swarm optimization with Cauchy mutation (IPSO) is proposed and applied in RPO on IEEE-14 bus, the comparison of the result of several different methods shows that the IPSO can more effectively solve the reactive power optimization problem in power system.

关键词： power system reactive power optimization Cauchy particle swarm optimization

作者: Qu Nana Ma Lixin Shan Guanhua Ren Youming

作者单位: Dept, of Electrical Engineering Univ, of Shanghai for Sci,& Tech,Shanghai 200093, P,R,China

会议类型: 国际会议

会议名称: 2011 6th Joint International Information Technology and Artificial Intelligence Conference(2011年第六届IEEE联合国际信息技术与人工智能会议 IEEE ITAIC 2011)

会议地点: 重庆

会议语种:英文

页码: 865-868

在线出版日期: 2011-08-20（万方平台首次上网日期，不代表论文的发表时间）