Power System Reactive Power Optimization Based on Global Differential Evolution Algorithm

被引：0
|
作者：
Wu, Peifeng [1 ]
Zhang, Jianhua [1 ]
机构：
[1] North China Elect Power Univ, Sch Elect & Elect Engn, Beijing 102206, Peoples R China
来源：
2013 25TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2013年
关键词：
Global Differential Evolution Algorithm; Reactive Power Optimization; Network Loss; GENETIC ALGORITHM; VOLTAGE CONTROL; PARTICLE SWARM; DISPATCH; FLOW;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The reactive power optimization problem has a significant influence on secure and economic operation of power systems. Reactive power optimization of power systems is a kind of mixed nonlinear integer programming problem and can reduce network loss by changing transformer taps, adjusting generator terminal voltage and connecting shunt capacitors. This paper proposes global differential evolution (GDE) algorithm which can improve the convergence speed and avoid local optimum. GDE is utilized to solve the reactive power optimization problems. Experimental results show that GDE algorithm is an effective algorithm to solve reactive power optimization problem and its optimization result is better than other algorithms
引用
收藏
页码：1019 / 1022
页数：4
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