Application of SCA Tuned FFOPI Controller for LFC of Nonlinear Power System

Nimai Charan Patel, Pratap Kumar Panigrahi, Dipu Mohanta
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Abstract

Load Frequency Control popularly known as LFC has a significant role in preserving the system stability and providing consistent and quality power to the customers. This paper investigates the LFC of a three area reheat thermal system with nonlinearity such as generation rate constraint (GRC) under load fluctuation. At first, fuzzy proportional integral (FPI) controller is used for the purpose and the gains of the controller are tweaked by the sine cosine algorithm (SCA) but the controller fails to stabilize the system due to the system nonlinearity. So, the improved version of FPI controller, known as fuzzy fractional order proportional integral (FFOPI) controller is introduced and tuned by the particle swarm optimization (PSO) and SCA independently. For implementing the optimization process, integral time absolute error (ITAE) is selected as the objective function (OF). The response parameters of the frequency and tie-line power are analyzed with PSO tuned FFOPI (PSO-FFOPI) and SCA tuned FFOPI (SCA-FFOPI) controller and it is established that SCA-FFOPI controller delivers improved control performance than the other controller.
SCA调谐FFOPI控制器在非线性电力系统LFC中的应用
负载频率控制通常被称为LFC,在保持系统稳定性和向客户提供一致和高质量的电力方面发挥着重要作用。研究了负荷波动下具有发电速率约束等非线性的三区再热系统的LFC问题。首先采用模糊比例积分(FPI)控制器,并通过正弦余弦算法(SCA)对控制器的增益进行调整,但由于系统的非线性,控制器无法实现系统的稳定。为此,引入了FPI控制器的改进版本——模糊分数阶比例积分(FFOPI)控制器,并分别采用粒子群优化(PSO)和SCA进行优化。为了实现优化过程,选择积分时间绝对误差(ITAE)作为目标函数。分析了PSO调谐FFOPI (PSO-FFOPI)和SCA调谐FFOPI (SCA-FFOPI)控制器对频率和接线功率的响应参数,确定了SCA-FFOPI控制器比其他控制器具有更好的控制性能。
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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