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Optimal capacitor placement in distribution system using genetic algorithm

机译:基于遗传算法的配电系统电容器优化布置

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The placement of shunt capacitor banks at optimal locations in the distribution network and their sizing can effectively reduce the losses in the utility network. It also helps in the maximum active power flow through the existing distribution lines which. This also increases the power transfer capacity of feeders and improves the voltage profile of the feeders which leads to reduced investment of transmission network. This paper presents a method for optimal placement and sizing of the capacitors in radial distribution feeder using Genetic algorithm (GA) with an objective of loss reduction and voltage profile improvement. The results have been validated using MATLAB programming. An IEEE 33-bus distribution test feeder is employed for testing the proposed algorithm. The optimal sizing of the capacitors has been suggested in terms of the kVAr.
机译:将并联电容器组放置在配电网络中的最佳位置并确定其大小可有效减少公用事业网络中的损耗。它还有助于最大的有功功率流经现有的配电线路。这也增加了馈线的功率传递能力,并改善了馈线的电压分布,这导致减少了传输网络的投资。本文提出了一种使用遗传算法(GA)来优化径向分配馈线中电容器的布局和尺寸的方法,目的是减少损耗并改善电压分布。结果已使用MATLAB编程进行了验证。 IEEE 33总线配电测试馈线用于测试所提出的算法。根据kVAr提出了电容器的最佳尺寸。

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