Optimal Capacitor Placement For IEEE 118 Bus System By Using Genetic Algorithm

H. Hartono, M. Azis, Y. Muharni
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引用次数: 9

Abstract

One way to reduce reactive power in a distribution system is to install a capacitor bank. Bank capacitors can increase the voltage profile on the system. optimal placement of bank capacitors can reduce costs incurred. in this study discussed the optimization of the placement of bank capacitors using genetic algorithms on the IEEE 118 Bus system. Genetic Algorithm (GA) is a method that mimics the mechanism of the evolutionary process. This evolutionary process is carried out on a set of candidate solutions (chromosomes) by following the principle of natural selection developed by Darwin. The results of this study indicate that the use of the genetic algorithm method can reduce power loss by 13,67% on the IEEE 118 Bus Systems. Besides being able to reduce power loss, capacitors can also increase the voltage profile, the IEEE 118 Bus Systems voltage profile increases from 0.8687 to 0.9269 Pu.
基于遗传算法的ieee118总线电容优化配置
减少配电系统无功功率的一种方法是安装电容器组。银行电容器可以增加电压分布在系统上。最佳放置组电容器可以降低成本。在本研究中讨论了在IEEE 118总线系统上使用遗传算法优化银行电容器的放置。遗传算法(GA)是一种模拟进化过程机制的方法。这一进化过程遵循达尔文提出的自然选择原则,在一组候选解决方案(染色体)上进行。研究结果表明,在ieee118总线系统上,采用遗传算法方法可降低13.67%的功率损耗。除了能够降低功率损耗,电容器还可以提高电压分布,IEEE 118总线系统的电压分布从0.8687增加到0.9269 Pu。
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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