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遗传算法在电力系统无功优化中的应用及研究
引用本文:杨娜,宋中山,翁小杰. 遗传算法在电力系统无功优化中的应用及研究[J]. 数字社区&智能家居, 2009, 0(13)
作者姓名:杨娜  宋中山  翁小杰
作者单位:中南民族大学;华中电力科技开发有限公司;
摘    要:该文阐述了将遗传算法应用于电力系统无功优化模块中,目的是可以有效地降低电力系统网络有功损耗,提高系统的电压合格率,从而降低电力网络运行费用,提高供电质量。

关 键 词:电力系统  遗传算法  无功优化  

Reactive Power Optimization Based on Genetic Algorithms in Electrical Power System
YANY Na,SONG Zhong-shan,WENG Xiao-jie. Reactive Power Optimization Based on Genetic Algorithms in Electrical Power System[J]. Digital Community & Smart Home, 2009, 0(13)
Authors:YANY Na  SONG Zhong-shan  WENG Xiao-jie
Affiliation:1.South-central University for Nationalities;Wuhan 430074;China;2.Central China Power Technology Development Co.;Ltd.;Wuhan 430077;China
Abstract:This paper expound the application of genetic algorithm in reactive power optimization,the aim is to reduce the reactive loss of electrical power n system effectively,and improve the system voltage passing rate,thereby reducing the electrical power system operating costs and improving quality of power supply.
Keywords:
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