基于人工蜂群优化技术的PID SSSC控制器整定

A. Rahim, M. Ali
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引用次数: 5

摘要

研究了采用静态同步串联补偿器控制的电力系统的动态性能。该策略通过PID控制器实现,PID控制器的参数通过人工蜂群(ABC)优化程序进行调整。通过引入和不引入PID模型的五阶系统动力学模型对系统的小信号响应进行了评估。采用一种简单的极点放置技术来获得作为ABC算法输入的参数范围。结果表明,通过ABC算法确定控制器增益的PID控制器在系统大扰动后提供了很好的暂态轮廓。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tuning of PID SSSC controller using artificial bee colony optimization technique
The dynamic performance of a power system has been investigated with static synchronous series compensator (SSSC) control. The strategy has been implemented through a PID controller, parameters of which are tuned through an artificial bee colony (ABC) optimization procedure. The small signal response of the system has been evaluated through a 5th order system dynamic model with and without the PID model incorporated. A simple pole-placement technique was employed to get the range of parameters used as input to the ABC algorithm. It was observed that the PID controller, with controller gains determined through ABC algorithm, provided very good transient profile following large disturbances in the system.
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