基于微粒群算法优化PI参数的单相有源电力滤波器

Single-phase active power filter based on particle swarm optimized PI regulator

有源电力滤波器在单位功率因数控制策略下,PI调节器的参数选择和优化是个难点,从能量传递的角度,推导了单位功率因数控制下系统有功功率闭环控制的模型,在此基础上分启动和稳态两个阶段设计PI调节器,采用改进微粒群优化算法对调节器参数进行寻优,与传统的典型Ⅱ型系统设计方法和遗传算法得到的整定结果进行比较,优化参数后的调节器拥有更好的动态响应和抗扰性能,仿真结果也验证了优化后的系统具有良好的补偿效果和瞬时特性。

Based on unity power factor control method, the active power filter usually uses the PI controller, but the selection and optimization for the PI parameters is a problem. From the point of view of the active power delivery, the model of active power close-loop control based on unity power factor control is obtained, two PI controllers are designed for startup and steady stages based on the model. In this paper, the improved PSO algorithm is used to optimize the parameter of PI controllers, compared with the results obtained by typical Ⅱ system design method and genetic algorithm, the optimized controllers have better dynamic and disturbance rejection performance, the results from simulation verify the good performance of harmonics compensation of the single-phase active power filter.