结合模糊PI与前馈补偿的光伏微型逆变器仿真

系统仿真学报 ›› 2015, Vol. 27 ›› Issue (2): 425-431.

结合模糊PI与前馈补偿的光伏微型逆变器仿真

刘卫亮, 刘长良, 张会超, 林永君, 马良玉

华北电力大学新能源电力系统国家重点实验室,保定 071003

收稿日期:2014-02-11 修回日期:2014-07-15 发布日期:2020-09-02
作者简介:刘卫亮(1983-),男,河北衡水人,博士生,讲师,研究方向为新能源发电控制技术;刘长良(1966-),男,河北沧州人,博士,教授,研究方向为节能优化理论。
基金资助:
华北电力大学中央高校基金(12ZX18)

Simulation of Grid-Connected Solar Micro-Inverter Based on Fuzzy PI Controller and Feed-Forward Compensation

Liu Weiliang, Liu Changliang, Zhang Huichao, Lin Yongjun, Ma Liangyu

State key laboratory of Alternate Electrical Power System with Renewable Energy Sources, Baoding 071003, China

Received:2014-02-11 Revised:2014-07-15 Published:2020-09-02

摘要/Abstract

摘要： 光伏并网微型逆变器能够解决集中式逆变器安全性差、效率低的缺点,有着良好的应用前景。作为一个高度非线性、时变的系统,采用传统PI控制器进行并网电流控制难以达到较好的效果。建立了微型逆变器的小信号分析模型,提出了结合模糊PI控制与电网电压前馈补偿的并网电流控制方法,并利用遗传算法进行PI控制器参数初始值的优化。仿真结果表明,该控制方法具有鲁棒性好、控制偏差小的特点,并能够有效地降低并网电流的谐波含量。

关键词: 微型逆变器, PI控制, 模糊控制, 前馈补偿, 遗传算法

Abstract: Grid-connected solar micro-inverter is a highly nonlinear and time-varying system, so it is difficult to achieve good control effect using traditional PI controller. Small signal analysis model of micro-inverter was established, grid-connected current control strategy composed of fuzzy PI controller and grid voltage feed-forward was put forward, and the initial parameters of PI controller was optimized using the genetic algorithm. Simulation results show that the control strategy has the virtues of good robustness, small dynamic deviation, and could reduce the harmonic content of grid-connected current.

Key words: micro-inverter, PI controller, fuzzy control, feed-forward compensation, genetic algorithm

中图分类号:

TM85

刘卫亮, 刘长良, 张会超, 林永君, 马良玉. 结合模糊PI与前馈补偿的光伏微型逆变器仿真[J]. 系统仿真学报, 2015, 27(2): 425-431.

Liu Weiliang, Liu Changliang, Zhang Huichao, Lin Yongjun, Ma Liangyu. Simulation of Grid-Connected Solar Micro-Inverter Based on Fuzzy PI Controller and Feed-Forward Compensation[J]. Journal of System Simulation, 2015, 27(2): 425-431.

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