Improve performance in electrical power distribution system by optimal capacitor placement using genetic algorithm

M. Mahdavian, M. Kafi, A. Movahedi, M. Janghorbani
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引用次数: 11

Abstract

The aim of this work is improve voltage profile and active power loss. Capacitor placement and sizing are done by loss sensitivity analysis and GA. Power loss sensitivity factor offer the important information about each section in a feeder. This factor is determined using load flow study. In a feeder, Sections with highest power loss sensitivity are selected to installation the capacitor. GA with a multi-purpose goal function for simultaneous reduction of the losses and the improvement of the voltage profile detects the optimal size of capacitor in each candidate section. The results of the application of this method are compared with the results obtained from the installation of capacitors by DIGSILENT software.
利用遗传算法优化电容器的配置,提高配电系统的性能
这项工作的目的是改善电压分布和有功功率损耗。通过损耗灵敏度分析和遗传算法确定电容器的位置和尺寸。功率损耗敏感系数提供了有关馈线各部分的重要信息。该因素是通过负荷流研究确定的。在馈线中,选择功率损耗灵敏度最高的部分来安装电容器。遗传算法具有同时降低损耗和改善电压分布的多目的目标函数,检测每个候选部分的最佳电容器尺寸。将该方法的应用结果与用DIGSILENT软件安装电容器的结果进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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