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结合灵敏度分析的遗传算法应用于配电网无功补偿优化规划
引用本文:余健明,杜刚,姚李孝.结合灵敏度分析的遗传算法应用于配电网无功补偿优化规划[J].电网技术,2002,26(7):46-49.
作者姓名:余健明  杜刚  姚李孝
作者单位:西安理工大学电气工程系,陕西省,西安市,710048
摘    要:以配电网全年电能损耗和无功学设备投资之和最小为目标,考虑了系统不同负荷下的运行方式,建立了无功补偿规划的数学模型,根据配电网节点多,计算最大的特点,提出了结合灵敏度分析的遗传算法的求解方法,提出了容性无功功率和感性无功功率的补偿规划原则。

关 键 词:灵敏度分析  遗传算法  配电网  电力系统  无功补偿  优化规划
文章编号:1000-3673(2002)07-0046-04
修稿时间:2001年9月7日

APPLICATION OF GENETIC ALGORITHM COMBINING SENSITIVITY ANALYSIS TO OPTIMIZED PLANNING OF REACTIVE POWER COMPENSATION FOR DISTRIBUTION NETWORKS
YU Jian-ming,DU Gang,YAO Li-xiao.APPLICATION OF GENETIC ALGORITHM COMBINING SENSITIVITY ANALYSIS TO OPTIMIZED PLANNING OF REACTIVE POWER COMPENSATION FOR DISTRIBUTION NETWORKS[J].Power System Technology,2002,26(7):46-49.
Authors:YU Jian-ming  DU Gang  YAO Li-xiao
Abstract:Taking the minimized sum of annual electrical energy loss and the investment for reactive power compensation equipments for objective function and considering the operating modes under various loads, in this paper a mathematical model for reactive power compensation is established. According to the feature of distribution network, i.e., numerous nodes and generous amount of calculation, to solve the presented mathematical model a method which combines genetic algorithm and sensitivity analysis is given, and the principle of compensation plan for capacitive- and inductive-reactive power is put forward.
Keywords:genetic algorithm  sensitivity analysis  reactive power optimization
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