Improved Grey Wolf Optimizer Algorithm for PIDF Controller for AGC of Multi-Area Multi-Source Interconnected Power System

2021 IEEE International Conference on Automatic Control & Intelligent Systems (I2CACIS) Pub Date : 2021-06-26 DOI:10.1109/I2CACIS52118.2021.9495884

Faeq J. Zwayyer, Afaneen A. Abood, J. Hussein

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引用次数: 4

Abstract

Improved Grey Wolf Optimizer (I-GWO) is a new explored to develop an algorithm for solving engineering issues. Recently, the I-GWO is very popular among researchers due to its effectiveness in solving complex engineering problems especially that related to power systems. This paper proposes I-GWO based automatic generation control for elimination of the frequency and power interchange deviation in an interconnected power system. A two area six-unit multi-source system equipped with PID and PID with derivative filter (PIDF) controllers is taken in consideration. I-GWO is used to seek for optimal parameters of controllers. The performance of the suggested optimal controller is compared and evaluated with that of the conventional PID controller in order to demonstrate the superior efficiency of the suggested I-GWO in PIDF controller tuning. The simulation results prove that the optimal I-GWO based controller provides better performance as compared with the conventional controller.

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多区域多源互联电力系统AGC PIDF控制器的改进灰狼优化算法

改进灰狼优化器(I-GWO)是一种新探索的求解工程问题的算法。近年来，I-GWO因其在解决复杂工程问题特别是与电力系统有关的问题方面的有效性而受到研究人员的广泛欢迎。本文提出了一种基于I-GWO的自动发电控制方法，用于消除互联电力系统中的频率偏差和电力交换偏差。研究了一种二区六单元多源系统，分别采用PID和PID微分滤波(PIDF)控制器。采用I-GWO算法求控制器的最优参数。将所提出的最优控制器的性能与传统PID控制器的性能进行了比较和评价，以证明所提出的I-GWO在PID控制器整定中的优越性。仿真结果表明，与传统控制器相比，基于最优I-GWO的控制器具有更好的性能。

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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2021 IEEE International Conference on Automatic Control & Intelligent Systems (I2CACIS)

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