利用细菌觅食优化的并联有源电力滤波器消除谐波

Anju Sharaf, R. Pandey, Mahesh Singh, Rajkumar Jhapte
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引用次数: 0

摘要

并联型有源电力滤波器由于其有效的性能,在谐波最小化领域受到越来越多的关注。本文采用带PI控制器的并联有源滤波器消除谐波,并采用细菌觅食优化算法(BFO)对PI控制器的参数进行自整定优化,并给出了参数值。BFO算法是一种新的仿生学优化算法,用于跟踪大肠杆菌的多优化函数。在MATLAB/SIMULINK中对该模型进行了仿真。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Elimination of harmonics using bacterial foraging optimized shunt active power filter
The shunt active power filter is gaining more attention within the field of harmonics minimization because of its effective performance in this area, where a load which is nonlinear, connected and generating the harmonics problems in the system. Here in the paper a shunt active filter with PI controller is used to eliminate harmonics also a new algorithm which is BFO (Bacterial Foraging Optimization) algorithm is used to optimize the parameter of PI controller through self tuning and provides a parameter values. The BFO algorithm is a new bionic optimization algorithm to follow the E.coli bacteria in multioptimal optimization function. The proposed model is simulate in MATLAB/SIMULINK.
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