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基于改进粒子群优化算法的输电系统多阶段协调规划
引用本文:陈海焱,陈金富.基于改进粒子群优化算法的输电系统多阶段协调规划[J].继电器,2005,33(23):36-40.
作者姓名:陈海焱  陈金富
作者单位:华中科技大学电气与电子工程学院,湖北 武汉 430074
摘    要:提出了一种输电系统多阶段协调规划模型,模型中计入了以N-1静态安全条件表示的可靠性约束,并对采用粒子群优化算法PSO(Partic le Swarm Optim ization)来求解该模型进行了研究,引入新的变异策略对基本PSO算法进行了改进,改进后的算法可以处理多维的离散变量,有可能使粒子摆脱局部最优,提高搜索效率。仿真算例表明该方法用于输电系统的多阶段协调规划是可行的。

关 键 词:静态规划    多阶段协调规划    粒子群优化算法    N-1静态安全
文章编号:1003-4897(2005)23-0036-05
收稿时间:2005-04-06
修稿时间:2005-05-24

Particle swarm optimization for transmission systems multi-stage and coordinated planning
CHEN Hai-yan, CHEN Jin-fu.Particle swarm optimization for transmission systems multi-stage and coordinated planning[J].Relay,2005,33(23):36-40.
Authors:CHEN Hai-yan  CHEN Jin-fu
Affiliation:Huazhong University of Science and Technology, Wuhan 430074, China
Abstract:A new model of transmission system multi-stage and coordinated planning,is presented in this paper considering N-1 static security constraints.This paper presents an improved particle swarm optimization(PSO) algorithm and selects it as the solution to multi-stage planning of transmission systems.The improved PSO is available to handle multi-dimension discrete variables.And a new mutation operator is described to enhance the search efficiency of particles.The test results show that the improved PSO is feasible to apply to multi-stage planning of transmission systems.
Keywords:static planning  multi-stage planning  particle swarm optimization  N-1 static security constraints
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