计及阀点效应负荷经济分配的杂交粒子群算法  

Hybrid particle swarm optimization for economic dispatch with valve-point effect

作　　者：蒋秀洁[1,2] 徐满清[3] 龚学会 陈林[3] 

机构地区：[1]成都信息工程学院控制工程学院,四川成都610225 [2]三峡大学电气信息学院,湖北宜昌443002 [3]宜昌供电公司,湖北宜昌443002

出　　处：《电力系统保护与控制》2009年第8期10-13,共4页Power System Protection and Control

摘　　要：提出了一种用于求解复杂的非凸、非线性具有阀点效应的火电有功负荷经济分配问题的杂交粒子群算法(HPSO)。HPSO通过粒子追随自己找到的最优解和整个群的最优解来完成优化,并在此基础上将遗传算法的杂交思想引入到PSO算法当中,使其避免局部最优。算例的仿真结果表明:本文的算法有效、可行,可望应用于更广泛的优化问题。This paper introduces a new versatile optimization called hybrid particle swarm optimization algorithm （HPSO）. The algorithm can be used to solve the discontinuous, nonconvex, nonlinear constrained economic load dispatch （ELD） with valve-point effect optimization problems. The algorithm completes the optimization through following the personal best solution of each particle and the global best value of whole swarm .To avoid trapping to local excellent result, this paper presents putting hybrid idea of GA into PSO algorithm. The results show that the HPSO for ELD problem is versatile and efficient. It has been successfully applied in many areas.

关 键 词：杂交粒子群优化算法 经济负荷分配 电力系统 阀点效应 

分 类 号：TM715[电气工程—电力系统及自动化]