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首页> 外文会议>2013 International Conference on Circuits, Power and Computing Technologies >Gravitational Search Algorithm based Automatic Generation Control for interconnected power system
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Gravitational Search Algorithm based Automatic Generation Control for interconnected power system

机译：基于引力搜索算法的互联电力系统自动发电控制

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摘要

This paper presents the design and performance analysis of Gravitational Search Algorithm (GSA) based Proportional-Integral (PI) controller for Automatic Generation Control (AGC) of an interconnected power system. A two area non-reheat thermal system equipped with PI controllers which is widely used in literature is considered for the design and analysis purpose. The design problem is formulated as an optimization problem and GSA is employed to search for optimal controller parameters. Three different objective functions using Integral Time multiply Absolute Error (ITAE), damping ratio of dominant eigen values and settling times of frequency and tie line power deviations with appropriate weight coefficients are derived in order to increase the performance of the controller. The superiority of the proposed GSA optimized PI controller is demonstrated by comparing the results with some recently published modern heuristic optimization techniques such as Bacteria Foraging Optimization Algorithm (BFOA) and Genetic Algorithm (GA) based PI controller for the same interconnected power system. It is observed that the dynamic performance of GSA optimized PI controller is better than BFOA and GA optimized PI controllers.
机译：本文介绍了基于引力搜索算法（GSA）的比例积分（PI）控制器的设计和性能分析，该控制器用于互联电力系统的自动发电控制（AGC）。为了设计和分析目的，考虑了在文献中广泛使用的，配备有PI控制器的两区域非再热热系统。将设计问题表述为优化问题，并使用GSA搜索最佳控制器参数。为了提高控制器的性能，使用积分时间乘以绝对误差（ITAE），主要特征值的阻尼比，频率的建立时间以及具有合适权重系数的联络线功率偏差，得出了三个不同的目标函数。通过将结果与一些最新发布的现代启发式优化技术（例如基于细菌觅食优化算法（BFOA）和基于遗传算法（GA））的PI控制器进行比较，证明了所建议的GSA优化PI控制器的优越性。可以看出，GSA优化的PI控制器的动态性能优于BFOA和GA优化的PI控制器。

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