Multi-stage reactive power programming using genetic algorithm

被引：0
|
作者：
Zhao, Xin [1 ]
Gao, Shan [1 ]
机构：
[1] Southeast Univ, Sch Elect Engn, Nanjing 210096, Peoples R China
来源：
2008 THIRD INTERNATIONAL CONFERENCE ON ELECTRIC UTILITY DEREGULATION AND RESTRUCTURING AND POWER TECHNOLOGIES, VOLS 1-6 | 2008年
关键词：
dynamic programming; genetic algorithm; multi-stage problem; policy; reactive power programming;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Reactive power programming is a multi-stage multi-objectives mixed integer programming problem. In this paper, a two steps procedure is proposed to solve the reactive power programming problem. First, a genetic algorithm is adopted aimed at minimizing the cost of power loss and investment at each stage. Then a dynamic programming is adopted aimed at finding the optimal policy of the whole stages. Results are presented of applying the proposed methodology to several power systems.
引用
收藏
页码：1484 / 1487
页数：4
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