基于改进鱼群算法的矿用链式STATCOM装置的LCL滤波器参数优化

Parameters Optimization of Mining Cascade STATCOM with LCL Filter Based on Improved Artificial Fish Swarm Algorithm

针对矿用链式STATCOM装置的LCL滤波器参数设置方法复杂、计算量大的问题,采用带有淘汰与克隆机制的人工鱼群算法对矿用链式STATCOM装置的LCL滤波器参数进行优化。实验结果表明,改进后的鱼群算法能对链式STATCOM装置的LCL滤波器参数进行有效优化。参数优化后的LCL滤波器性能得到提高,改善了煤矿电网的电能质量。

With large computation the traditional parameters design method of mining cascaded STATCOM with LCL filter was complex. The artificial fish swarm algorithm（AFSA） with elimination and clone mechanism was used to optimize the parameters of mining cascaded STATCOM with LCL filter. The experimental？results showed that, the improved AFSA could optimize the parameters of mining Cascade STATCOM with LCL filter effectively. The performance of LCL filter was improved after its parameters had been optimized, which improved the power quality of mining grid.