基于混合粒子群算法的配电网滤波器优化配置研究

摘要

将人工萤火虫算法、禁忌算法与粒子群算法相结合，提出一种混合粒子群算法，并将其应用到电力系统滤波器优化配置中，用于减轻电网谐波污染。建立滤波器的基本模型，以滤波器投资最少为目标函数，采用混合粒子群算法进行寻优，得到滤波器相应优化参数。通过 IEEE 实例仿真分析，验证了所提改进算法及模型的正确可行性。%By combining artificial firefly algorithm,taboo algorithm and particle swarm algorithm,we propose a hybrid particle swarm algorithm, and apply it to the filter optimization configuration in the electric power system for the purpose of reducing harmonic pollution in the grid.A basic filter model is set up,and optimization is completed through use of hybrid particle swarm algorithm,with the lowest possible investment in the filter as the object function.Thus,optimal parameters of the filter are obtained.The results of simulation of IEEE examples show that the proposed algorithm and the model are correct and effective.