Output feedback organically-structured control of expanded power system based on parameter optimization

Proceedings of the 10th World Congress on Intelligent Control and Automation Pub Date : 2012-07-06 DOI:10.1109/WCICA.2012.6358220

Xiaohua Li, Yanying Xu

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Abstract

A new optimized organically-structured control method combined with the dynamic output feedback and genetic algorithm is proposed for automatic generation control (AGC) design of interconnected power system with the extension structure. Genetic algorithm is used to optimize the related parameters emerged in the process to solve the controller based on the dynamic output feedback control of the system with the extension structure. The blindness to choose the parameters is avoided. The fitness function evaluating synthetically the time domain response performance is chosen, and the constraint matrix is optimized in the design. The simulation research is done against a kind of interconnected power system model. Consider a new area subsystem is add to original system on line, the automatic generation control law of the new area is designed by using the proposed method. The simulation results show that the control performances optimized by genetic algorithm are better than the before, and the effectiveness of this method is proved.

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基于参数优化的扩展电力系统输出反馈有机结构控制

针对具有扩展结构的互联电力系统自动发电控制(AGC)设计问题，提出了一种结合动态输出反馈和遗传算法的有机结构优化控制方法。采用遗传算法对过程中出现的相关参数进行优化，求解基于动态输出反馈控制的具有可拓结构的系统控制器。避免了参数选择的盲目性。选择了综合评价时域响应性能的适应度函数，并对约束矩阵进行了优化设计。针对一种互联电力系统模型进行了仿真研究。考虑到在原有系统的基础上增加了一个新区域子系统，利用该方法设计了新区域的自动生成控制律。仿真结果表明，遗传算法优化后的控制性能优于原算法，证明了该方法的有效性。

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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Proceedings of the 10th World Congress on Intelligent Control and Automation

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