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基于PSO的电力系统环境经济负荷调度
引用本文:陈茂迁,王海燕,张勤.基于PSO的电力系统环境经济负荷调度[J].江西电力职工大学学报,2009(1):8-11.
作者姓名:陈茂迁  王海燕  张勤
作者单位:[1]四川大学电气信息学院,四川成都610065 [2]云南电网公司丽江供电局,云南丽江674100
摘    要:针对基于线性加权和处理成单目标优化问题的传统方法存在的缺陷,提出使用粒子群优化算法求解EELD多目标优化问题。该方法通过对粒子群算法个体极值和全局极值选取方式的改进,实现了对EELD多目标优化问题的非劣最优解集的搜索,为决策者提供了丰富的参考信息。在此基础上,应用模糊满意度方法求出的最优折衷解为调度运行人员提供了最佳调度折衷方案。最后,对一个三机系统进行了测试,并与线性加权人工神经网络法进行了比较分析,仿真结果验证了该方法的有效性。

关 键 词:电力系统  环境经济负荷调度  多目标优化  粒子群优化算法

Economic Emission Load Dispatch of Power System Based on Particle Swarm Optimization
CHEN Mao-qian,WANG Hai-yan,ZHANG Qin.Economic Emission Load Dispatch of Power System Based on Particle Swarm Optimization[J].Journal of Jiangxi Electrical University For Staff,2009(1):8-11.
Authors:CHEN Mao-qian  WANG Hai-yan  ZHANG Qin
Affiliation:1.School of Electric Engineering and Information, Siehuan University, Chengdu 610065 ,China; 2.Lijiang Electric Power Bureau of YEPG, Lijiang 674100, China)
Abstract:To handle the existing defects of traditional methods which are based on the linear weighting and treated as single objective optimization problem, an improved particle swarm optimization(PSO) algorithm to solve EELD problems is proposed. Through the improvement of the modes of gBest and pBest of PSO algorithm, this method can implement the search for Pareto optimal set of EELD multi-objective optimization problems, and provide abundance of reference information for decisionmaker, On this basis, optimal compromise solution by approach of fuzzy satisfaction supplies the best compromise scheme for dispatcher. Finally, the effectiveness of this method is validated by sample system.
Keywords:power system  economic emission load dispatch  multi-objective optimization  particle swarm optimization
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