智能电网中基于ESS-MOPSO算法的调度优化策略  

A dispatch optimization strategy for smart grid based on ESS-MOPSO algorithm

作　　者：郑安曼[1] 

机构地区：[1]西安科技大学管理学院,陕西西安710600

出　　处：《安徽工程大学学报》2013年第3期62-65,共4页Journal of Anhui Polytechnic University

摘　　要：结合智能电网的调度优化策略应综合考虑经济运行、节能减排及电能质量各方面因素,给出了智能电网的优化调度方程,并采用粒子群算法对该方程进行多目标寻优.介于传统粒子群算法中使用Pareto准则的局限性,采用一种基于优先阶的均衡选择全局搜索策略,更加有效地选取出全局最优粒子,引导其他粒子寻优.在对智能电网调度优化的仿真中取得了良好效果.In view of the dispatch optimization strategy for a smart grid, the economic operation, energy-saving emission reduction and power quality factors should be taken into account,and the optimization equation of the comprehensively smart grid is given. The particle swarm algorithm is employed to solve the problem. Because of the limitations of the Pareto criterion of traditional particle swarm algorithm, an equilibrium selection of global search strategy based on preference order is proposed to guard the other guard. In the simulation of smart grid dispatch tion effect. optimization, this algorithm achieves a good optimiza-

关 键 词：智能电网 调度优化 多目标粒子群算法 

分 类 号：TM734[电气工程—电力系统及自动化]