基于永磁同步发电机的并联有源滤波器的蚁群优化控制

B. Berbaoui, D. Saba, R. Dehini, A. Dahbi, R. Maouedj
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引用次数: 2

摘要

提出了一种采用蚁群优化算法对并联型有源电力滤波器注入参考电流波形进行最优控制的方法。介绍了瞬时P-Q概念在风能转换系统中的应用。规划的wcs是由永磁同步发电机(PMSG)风力发电机组通过并联有源滤波器与电网连接而形成的。SAF利用产生的风能为连接在公共耦合点(PPC)的负载供电,补偿电流谐波,并将多余的能量注入电网。首先,根据模糊逻辑规则设计的控制器使系统具有基本的鲁棒性。在第二种情况下,采用蚁群算法实现隶属函数的最优调整和归一化增益。仿真结果表明,与传统模糊控制器相比,该控制器具有更好的动态特性和控制性能,并能有效地降低谐波和改善功率因数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal control of shunt active filter based on Permanent Magnet Synchronous Generator (PMSG) using ant colony optimization algorithm
An optimal control technique of the injected reference current waveform of shunt active power filter is proposed in this paper using ant colony optimization algorithm. The application of the instantaneous P-Q concept in wind energy conversion system (WECS) is introduced. The planned WECS is formed by permanent magnet synchronous generator (PMSG) wind turbine connected to the electrical network through shunt active filter. SAF uses the generated wind energy to feed loads connected at the point of common coupling (PPC), compensates current harmonics and injects the excess of this energy into the electrical network. Firstly, the controller designed according to Fuzzy logic rules is such that the system is fundamentally robust. In the second case, the optimal adjustment of the membership functions and normalization gains are realized by using Ant Colony Optimization. Simulations results show the best dynamic behaviour and performance control compared with traditional Fuzzy controller, as well as effective in reducing harmonic and power factor improvement.
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