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首页> 外文期刊>International journal of electrical and power engineering >Hybrid GA-SA Based Optimal AGC of a Multi-Area Interconnected Power System
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Hybrid GA-SA Based Optimal AGC of a Multi-Area Interconnected Power System

机译：基于混合GA-SA的多区域互联电力系统最优AGC

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摘要

The Automatic Generation Control (AGC) of interconnected power systems has been considered as one of the most challenging problems for about the last four decades. Following the pioneering research of Elgerd and Fosha in 1970, a heap of research are appeared from time to time on optimal AGC of power systems considering various structural as well as technical aspects of power systems. This study is an attempt to propose a design of optimal AGC gains of a multi-area power system. The design of optimal AGC gains is based on Genetic Algorithm (GA) and Simulated Annealing (SA). It is a synergetic combination of GA and SA through a penalty function. The penalty function is derived based on the transient response specifications of dynamic response of the interconnected power system. A multi-area interconnected power system model is considered for the investigations. The power system model consists of three identical control areas consisting of reheat thermal plants. The investigations have been carried out with the designed Automatic Generation Controllers (AGC) based on GA-SA considering 2% load perturbation in one of the areas. The system dynamic responses obtained for various system states are compared with those achieved using optimal controllers derived using Linear Quadratic Regulator (LQR) theory. The simulation results show that the proposed GA-SA based optimal load frequency controllers are superior in all respects in comparison to the optimal AGC based on LQR theory.
机译：过去四十年来，互连电力系统的自动发电控制（AGC）被认为是最具挑战性的问题之一。在1970年进行了Elgerd和Fosha的开创性研究之后，不时出现有关电力系统最佳AGC的大量研究，其中考虑了电力系统的各种结构和技术方面。这项研究试图提出一种多区域电力系统的最佳AGC增益设计。 AGC最佳增益的设计基于遗传算法（GA）和模拟退火（SA）。它是GA和SA通过罚函数的协同组合。罚函数是基于互连电力系统动态响应的瞬态响应规范得出的。考虑使用多区域互连电力系统模型进行研究。电力系统模型由三个相同的控制区域组成，包括再热电厂。已经使用基于GA-SA的设计自动发电控制器（AGC）进行了调查，其中考虑了其中一个区域的2％负载扰动。将针对各种系统状态获得的系统动态响应与使用通过线性二次调节器（LQR）理论推导的最佳控制器获得的动态响应进行比较。仿真结果表明，与基于LQR理论的最优AGC相比，基于GA-SA的最优负载频率控制器在各个方面都具有优势。

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