Optimization of Capacitor Placement in Radial Distribution System Using Integer Encoding Genetic Algorithm

I. K. Suryawan, Igna Dwijaya Saputra
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Abstract

There are some problems in the distribution system such as, real power losses, lagging components of the current circuit that happened due to the growth of the load. These problems will impact in increasing the annual cost of the distribution system. One of the methods to avoid these problems is by installing the capacitors on several buses. These capacitors can reduce real power losses and also improve the bus voltage profile. The effectiveness of the capacitor installation depends on the location and size of the capacitor. In this paper, the tracing of the optimal capacitor location and size was carried out using an integer encoding genetic algorithm. Numerical simulation with a test system of 10 and 34 buses have been conducted and found that the proposed method was able to trace the optimal capacitor location and its size. This proposed method was able to provide more saving annual cost and better voltage improvement compared to the Modified ABC Algorithm.
基于整数编码遗传算法的径向配电系统电容器布局优化
由于负荷的增长,配电系统中存在着实际功率损耗大、电流回路滞后等问题。这些问题将增加配电系统的年成本。避免这些问题的方法之一是在多个总线上安装电容器。这些电容器可以减少实际功率损失,也可以改善母线电压分布。电容器安装的有效性取决于电容器的位置和尺寸。本文采用整数编码遗传算法对电容器的最佳位置和尺寸进行跟踪。在10和34个母线的测试系统上进行了数值模拟,结果表明,所提出的方法能够跟踪到电容器的最佳位置和尺寸。与改进的ABC算法相比,该方法能够节省更多的年成本和更好的电压改善。
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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