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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
引用本文: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]. 上海电力学院学报, 2009, 25(3): 225-228
作者姓名:李晓华  杨尔滨  杨欢红
作者单位:上海电力学院,电力与自动化工程学院,上海,200090
基金项目:上海市优秀青年教师基金 
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.

关 键 词:电网分区  Bender’s分解  遗传算法
收稿时间:2008-12-18

Distribution Network Reactive Planning Optimization Based on Regional Power Grids and Genetic Algorithm
LI Xiao-hu,YANG Er-bin and 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
Authors:LI Xiao-hu  YANG Er-bin  YANG Huan-hong
Affiliation:School of Electric Power and Automation Engineering;Shanghai University of Electric Power;Shanghai 200090;China
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  
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