A Genetic Algorithm-Based Power System Volt/Var Optimization Applied to Transmission Studies

Hanyue Li, Govind Joshi, Matt Mazhari, Timothy Kopp
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Abstract

With the increasing number of renewable generation and load interconnection applications to transmission systems, the volume and complexity of voltage and reactive power control problems for the high-voltage power system network are unprecedented. Motivated by the transmission planning and generator interconnection studies conducted in the industry, this work developed a genetic algorithm-based volt/var optimization approach as an improvement to the industry’s current practice to mitigate bus voltage violations and optimize reactive power device control variables.
基于遗传算法的电力系统电压/无功优化在输电研究中的应用
随着可再生能源发电和负荷互联在输电系统中的应用越来越多,高压电网电压和无功控制问题的数量和复杂性前所未有。受业内输电规划和发电机互联研究的推动,本研究开发了一种基于遗传算法的电压/无功优化方法,作为对行业当前实践的改进,以减轻母线电压违规并优化无功设备控制变量。
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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