基于免疫粒子群优化算法的微电网谐波抑制策略

Micro grid harmonic suppression strategy based on immune particle swarm optimization algorithm

为解决微电网中变频器和电力设备运行引起的非线性负载谐波问题,提出了基于免疫粒子群优化(IPSO)算法的微电网无源滤波器谐波抑制策略,将免疫系统的免疫机制原理引入粒子群算法中,有助于提高粒子群算法全局收敛能力,主要目的是实现免疫粒子群算法优化滤波器参数,最终通过优化滤波器的方式达到微电网谐波抑制。从仿真结果可以得出,并网模式与孤岛模式相互转化过程中,IPSO算法可以有效地降低负载侧输出电压谐波比。

In order to solve the problem of non-linear load harmonics caused by the operation of frequency converters and power equipments in micro grid,this paper proposes a immune suppression strategy based on immune particle swarm optimization(IPSO)algorithm for micro grid passive filter harmonic suppression.The introduction of the mechanism principle into the particle swarm algorithm helps to improve the global convergence ability of the particle swarm algorithm.The main purpose is to implement the immune particle swarm optimization algorithm to optimize the filter parameters.The harmonic suppression of micro grid can be achieved by optimizing the filter.From the simulation results,it can be concluded that the IPSO algorithm can effectively reduce the harmonic ratio of the output voltage at the load side during the mutual transformation between the grid-connected mode and the islanding mode.