基于电网分区和遗传算法的配电网无功规划优化

李晓华; 杨尔滨; 杨欢红

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上海电力大学学报:2009,25(3):225-228

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基于电网分区和遗传算法的配电网无功规划优化

李晓华, 杨尔滨, 杨欢红

(上海电力学院电力与自动化工程学院, 上海 200090)

Distribution Network Reactive Planning Optimization Based on Regional Power Grids and Genetic Algorithm

LI Xiao-hua, YANG Er-bin, YANG Huan-hong

(School of Electric Power and Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China)

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本文已被：浏览 885次下载 492次
投稿时间：2008-12-18

中文摘要: 根据电力系统的特点,结合Bender's分解法和电网分区、灵敏度排序等方法对无功规划优化问题进行理论和应用研究,并计及不同负荷下的运行方式,以求获得较优的规划方案.最后利用IEEE30节点系统进行仿真计算,并对结果进行了分析.

中文关键词: 电网分区 Bender's分解遗传算法

Abstract:According to the characteristics of the power system, with Bender's decomposition and regional power grids, sensitivity sorting, among many other ways, theoretical and applied research is conducted on the reactive planning optimization problem.Taking into account the different operation under the load, the research aims at obtaining optimum plan.Finally, IEEE30 node system simulation, and the results are analyzed.

keywords: power grid decomposition Bender's regional genetic algorithm

文章编号：20090306 中图分类号： 文献标志码：

基金项目:上海市优秀青年教师基金(Z-2008-19)

作者	单位
李晓华	上海电力学院电力与自动化工程学院, 上海 200090
杨尔滨	上海电力学院电力与自动化工程学院, 上海 200090
杨欢红	上海电力学院电力与自动化工程学院, 上海 200090

Author Name	Affiliation
LI Xiao-hua	School of Electric Power and Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China
YANG Er-bin	School of Electric Power and Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China
YANG Huan-hong	School of Electric Power and Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China

引用文本：
李晓华,杨尔滨,杨欢红.基于电网分区和遗传算法的配电网无功规划优化[J].上海电力大学学报,2009,25(3):225-228.
LI Xiao-hua,YANG Er-bin,YANG Huan-hong.Distribution Network Reactive Planning Optimization Based on Regional Power Grids and Genetic Algorithm[J].Journal of Shanghai University of Electric Power,2009,25(3):225-228.