基于改进PSO算法的电力系统负荷经济分配  

Economic Dispatch of Power System Based on Modified PSO and Genetic Algorithms

作　　者：胡冬良[1] 赵媛媛[1] 柳丹[1] 

机构地区：[1]华北电力大学电力系统保护与动态安全监控教育部重点实验室,河北保定071003

出　　处：《电力科学与工程》2009年第3期22-27,共6页Electric Power Science and Engineering

摘　　要：电力系统负荷经济分配(ED)是一个高维、非凸、非线性问题,其求解过程比较复杂。对粒子群优化(PSO)算法进行改进,在目标函数中加入惩罚项来满足火电机组的约束条件,引入非线性权值递减略和惩罚因子的动态改进,并结合遗传算法(GA)中变异的思想,用来解决负荷经济分配的问题。将该方法的可行性在10台机组系统中多次检验,模拟结果表明文章所改进PSO算法具有良好的收敛性和鲁棒性。Solving Economic Dispatch （ED） of power load is quite difficult problem due to its high-dimensional, non-convex, nonlinear characteristic. In this paper, PSO was improved as follows： combining with genetic algorithm （GA） mutation, penalty function was adopt to the objective function in order to meet the constraints; non-linear decreasing weight and penalty factors dynamic modification were introduced to solve load economic dispatch problem. The feasibility of the method was tested in the system with 10 units repeatedly. The results showed that the modified PSO algorithm has good performances of convergence and robustness.

关 键 词：负荷经济分配 粒子群优化算法 遗传算法 

分 类 号：TM711[电气工程—电力系统及自动化]