Optimal VAr allocation by genetic algorithm

K. Iba
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引用次数: 20

Abstract

Keeping up with the times and computer technology, many researchers have applied new mathematical approaches extensively to solve various problems in power systems. AI technology, fuzzy theory and artificial neural networks are recent trends. This paper presents a new optimization method for reactive power planning using genetic algorithms. The genetic algorithm (GA) is a kind of search algorithm based on the mechanics of natural selection and genetics. This algorithm can search for a global solution using a multiple path and have a structure fit to integer problems. The proposed method was applied to practical 51-bus and 224-bus systems to show its feasibility and capabilities.<>
遗传算法优化VAr分配
随着时代和计算机技术的发展,许多研究者广泛地应用新的数学方法来解决电力系统中的各种问题。人工智能技术、模糊理论和人工神经网络是最近的趋势。提出了一种基于遗传算法的无功规划优化方法。遗传算法是一种基于自然选择和遗传学原理的搜索算法。该算法采用多路径搜索全局解,具有适合整型问题的结构。将该方法应用于51总线和224总线实际系统,验证了该方法的可行性和有效性。
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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