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

Hanyue Li, Govind Joshi, Matt Mazhari, Timothy Kopp
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引用次数: 0

摘要

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