Automatic Generation Control of Interconnected Power System using Cuckoo Optimization Algorithm

Shanchari Laik, S. Dey, Puja Das, S. Sultana, S. Paul, P. Roy
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引用次数: 1

Abstract

Automatic generation control (AGC) is added in power system to ensure constancy in frequency and tie-line power of an interconnected multi-area power system. In this article, proportional integral (PI) controlled based AGC of two-area hydrothermal system is solved by cuckoo optimization algorithm (COA). It is one of the most powerful stochastic real parameter optimization in current use. The design objective is to improve the dynamic performance of the interconnected system following a disturbance. System performance is examined considering 1% step load perturbation in thermal area with generation rate constraints. The results are compared with BBO, GA and DE to show the effectiveness of the proposed method. Computed results shows that the proposed method effectively improve the performance of the objective function with corresponding minimization of the overshoot, undershoot and settling time to reach steady state.
基于布谷鸟优化算法的互联电力系统自动发电控制
在电力系统中加入自动发电控制(AGC),以保证多区域互联电力系统的频率和配线功率恒定。本文采用布谷鸟优化算法(COA)求解基于比例积分(PI)控制的两区热液系统AGC。它是目前应用中最强大的随机实参数优化方法之一。设计的目的是改善受干扰后互联系统的动态性能。考虑发电速率约束下热区1%阶跃负荷扰动对系统性能的影响。结果与BBO、GA和DE进行了比较,验证了该方法的有效性。计算结果表明,该方法有效地提高了目标函数的性能,使相应的超调、欠调和稳定时间达到稳态。
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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