摘要
为更好地解决电力系统最优潮流问题,分析了当前多目标优化算法存在的缺陷,将强度Pareto进化算法(SPEA)应用于最优潮流中。SPEA是一种新型的多目标进化算法,具有收敛速度快,参数设置少,全局搜索能力强,所求的Pareto最优解分布均匀等优点。通过对IEEE30节点测试系统运用SPEA和混沌粒子群方法(CPSO)的计算结果对比,表明SPEA应用于最优潮流,为各目标函数之间的权衡分析提供了有效工具,是一种求解最优潮流问题的有效方法。
In order to solve the Optimal Power Flow（OPF） in power system better,the drawback of multi-objective optimization algorithm is analyzed in this paper,and Strength Pareto Evolutionary Algorithm（SPEA） is applied to OPF.SPEA is a new type of multi-objective evolutionary algorithm,which has some advantages such as fast convergence rate,less parameters settings,strong ability of global searching and distribution uniformity of Pareto optimal solutions solved.Through the comparison of calculated results by using SPEA and Chaotic Particle Swarm Optimization（CPSO） in IEEE30 node test system,it explains the use of SPEA in OPF has good effects and provides effective tools for tradeoff analysis of each target function.Thus the validity and efficiency of proposed algorithm are confirmed.SPEA provides a new thought for multi-objective Optimal Power Flow.
出处
《电测与仪表》
北大核心
2011年第9期53-56,72,共5页
Electrical Measurement & Instrumentation
