Application of Ant-genetic Algorithm in Reactive Power Optimization of Distribution Network

被引：0
|
作者：
Zhao, Feng [1 ]
Ge, Lian [1 ]
Li, Wenxiang [1 ]
机构：
[1] Lanzhou Jiaotong Univ, Sch Automat & Elect Engn, Lanzhou 730070, Peoples R China
来源：
2012 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC) | 2012年
关键词：
distribution network; reactive power optimization; ant-genetic algorithm;
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：
The voltage quality of distribution network can be advanced by reactive power optimization, and the active power loss also can be reduced effectively. In this paper, the reactive power optimization of power system and it's objective function are both researched. An ant-genetic algorithm is given by using crossover and mutation operations of genetic algorithm into ant colony algorithm to generate new searching path which can not only remain genetic algorithm's high quality of solution, but also have feature of parallel distribution of ant colony algorithm. An example is adopted to prove that the ant-genetic algorithm is effective, and it has fast convergence speed and fine global optimization ability.
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页数：4
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