Study of dynamic responses of an interconnected two-area all thermal power system with governor and boiler nonlinearities using BBO

Dipayan Guha, P. Roy, Subrata Banerjee
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引用次数: 13

Abstract

This paper aims to investigate the application of biogeography based optimization (BBO) technique to load frequency control (LFC) problem for improving power system dynamics with governor dead band and boiler dynamics type of nonlinearities. Two-area all thermal types interconnected power system network is considered for design and analysis purpose. The thermal areas are equipped with single and double reheat turbine, simultaneously. The designed problem is considered as an optimization problem and BBO algorithm is applied to search optimal gains of classical PID-controller which is used in AGC problem. The behavior of the test system is also investigated with the analysis towards the different cost functions such as integral square error (ISE) and integral time absolute error (ITAE). Small load perturbation (SLP) is considered in area-1 for studying the dynamic behaviors of the designed power system unit. To validate the effectiveness and superiority of proposed controller, the performances are compared with the results obtained by differential evaluation (DE) and particle swarm optimization (PSO) techniques. Simulation study exhibits significant effect of the designed controller on the dynamics of concerned power system network.
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考虑调速器和锅炉非线性的两区互联全火电系统动态响应的BBO研究
本文旨在研究基于生物地理的优化(BBO)技术在负荷频率控制(LFC)问题中的应用,以改善具有调速器死区和锅炉非线性的电力系统动力学。考虑了两区全热型互联电力系统网络的设计与分析。热区同时配置单、双再热涡轮。将所设计的问题视为一个优化问题,采用BBO算法搜索经典pid控制器的最优增益,并将其应用于AGC问题。通过对积分平方误差(ISE)和积分时间绝对误差(ITAE)等不同代价函数的分析,研究了测试系统的性能。在区域-1中考虑了小负荷摄动(SLP),以研究所设计的电力系统机组的动态特性。为了验证所提控制器的有效性和优越性,将其性能与差分评估(DE)和粒子群优化(PSO)技术得到的结果进行了比较。仿真研究表明,所设计的控制器对相关电网的动态影响显著。
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