Reactive Power Optimization of Electric Power System Incorporating Wind Power Based on Parallel Immune Particle Swarm Optimization

摘要：

　　This paper aims at the characteristics of reactive power optimization of the electric power system with the wind farm; proposing a new method for reactive power optimization on the entire power grid which uses the Parallel Immune Particle Swarm Optimization.It uses integer and real number hybrid encoding,improves the efficiency of compiling.And it combines the continuous and discrete particle swarm optimization,and introduces immune operators to improve the convergence precision.IEEE-14 and IEEE-30 system simulation examples show that the new method has better global convergence ability,faster convergence rate and higher accuracy.

关键词： Wind Power Reactive Power Optimization Particle Swarm Optimization Immune Algorithm Integer and Real Number Hybrid Encoding

作者: WANG Tianhong YUAN Guili ZHU Lei YU Tong

作者单位: China Power Complete Equipment Co.,Ltd,Beijing 100011,China School of Control and Computer Engineering,North China Electric Power University,Beijing 102206,Chin

会议类型: 国际会议

会议名称: 第26届中国控制与决策会议(2014 CCDC)

会议地点: 长沙

会议语种:英文

页码: 1064-1068

在线出版日期: 2014-05-31（万方平台首次上网日期，不代表论文的发表时间）