基于改进遗传算法的配电网无功优化规划  

Optimization of reactive power planning of distribution systems based on improved genetic algorithm

作　　者：杨丽徙[1] 徐中友[1] 朱向前[1] 

机构地区：[1]郑州大学电气工程学院,河南郑州450002

出　　处：《华北电力大学学报（自然科学版）》2007年第1期26-30,共5页Journal of North China Electric Power University：Natural Science Edition

基　　金：河南省教育厅自然科学基金项目资助(2004601067)

摘　　要：以年综合费用最小为目标,建立了考虑系统多负荷水平的配电网无功优化规划数学模型;提出了在灵敏度分析的基础上以负荷功率阻抗矩法确定补偿节点,利用灵敏度分析和灾变思想改进遗传算法的配电网无功规划优化方法;该方法加强了遗传交叉、变异操作的针对性,提高了算法的收敛速度;算例结果表明了其有效性和实用性。A mathematical model for reactive power planning of distribution systems is proposed with the objective of minimum annual expense. Different loads are considered. Based on sensitivity analysis, an optimal method to seek compensating nodes is suggested using Load Power Impedance Moment Method. The sensitivity analysis and cataclysm are employed to improve the Genetic Algorithm for optimization of reactive power planning. The method aims to enhance the pertinence of the cross and variation of Genetic Algorithm, and to improve the convergence speed of the algorithm. Test results prove its correctness.

关 键 词：无功规划 负荷功率阻抗矩 灵敏度 灾变 遗传算法 

分 类 号：TM715[电气工程—电力系统及自动化]