Evolutionary Algorithm based Controller Design for Grid tie Inverter to improve the Quality of Power System

K. Vijayakumar, G. Vishnuvarthanan, Eugene Yu-Dong Zhang
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引用次数: 1

Abstract

The core objective of this paper is to increase the overall efficacy of the inverter operation by designing a new controlling strategy by realizing a novel Monkey King Evolution Algorithm (MKEA). Providing an appropriate controller for grid connected inverter without affecting its output is the main motive of this work. During simulation, the effectiveness of the controller is investigated by the analysis of phase voltage, phase current, active power, reactive power, apparent power, grid voltage, and output voltage.
基于进化算法的并网逆变器控制器设计以提高电力系统质量
本文的核心目标是通过实现一种新的猴王进化算法(Monkey King Evolution Algorithm, MKEA)来设计一种新的控制策略,从而提高逆变器的整体运行效率。在不影响并网逆变器输出的前提下,为并网逆变器提供合适的控制器是本研究的主要动机。在仿真过程中,通过对相电压、相电流、有功功率、无功功率、视在功率、电网电压和输出电压的分析,考察了控制器的有效性。
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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