并联有源电力滤波器的粒子群优化技术

A. N. El-deen, A. Elbaset, Meshari D. Alanazi, A. Alaboudy, H. Ziedan
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引用次数: 2

摘要

本文旨在设计和研究基于粒子群优化技术(PSO)的并联有源电力滤波器的性能,该技术用于寻找PI控制器的最优增益。粒子群算法旨在控制更新粒子的位置和速度,直到达到最优集合。采用改进的同步参考系理论提取参考电流波形。基于Matlab/Simulation Tool进行了密集的仿真。并联型有源电力滤波器的设计与所提出的结果一致。最优控制电路的优点在于,即使在非线性负载存在的情况下也更有效,并且具有较好的动态响应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Particle Swarm Optimization Technique for Shunt Active Power Filter
This paper is aimed to design and study the performance of shunt active power filter based on Particle Swarm Optimization Technique (PSO) which is used to find out the optimal gains of PI controllers. PSO technique is designed to control the position and velocity of updating particles till reaches the optimum set. Modified synchronous reference frame theory is implemented to excerpt the reference current waveform. Intensive simulations are conducted based on Matlab/Simulation Tool. Design of shunt active power filter is agree with the proposed results. Optimal control circuit is quite superior as it is more effective even with the presence of non-linear loads and has a reasonably better dynamic response.
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