First-order active disturbance rejection control and parameter tuning method based on particle swarm optimization for LCL grid-connected inverter

被引:0
作者
Ma M. [1 ]
Liao P. [1 ]
Cai Y. [2 ]
Lei E. [1 ]
He Y. [2 ]
机构
[1] Electric Power Research Institute, Guangdong Power Grid Co., Ltd., Guangzhou
[2] College of Electrical Engineering, Xi'an Jiaotong University, Xi'an
来源
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2021年 / 41卷 / 11期
关键词
Active disturbance rejection control; LCL grid-connected inverter; Multi-objective optimization; Parameter tuning; Particle swarm optimization algorithm;
D O I
10.16081/j.epae.202107021
中图分类号
学科分类号
摘要
In the actual grid-connected field, the grid often contains unknown and time-varying disturbances, so the LCL grid-connected inverter operates in complex and harsh conditions, and often faces the problem of frequent off-grid. Firstly, a simple first-order active disturbance rejection controller for LCL grid-connected inverter is designed. Secondly, considering the problem that the parameters of active disturbance rejection controller are difficult to be tuned, a multi-objective optimization function including tracking error and settling time is constructed, and the parameters of the first-order active disturbance rejection controller are tuned by PSO(Particle Swarm Optimization) algorithm, which improves the efficiency and rationality of parameter design for active disturbance rejection controller. Finally, the system performance is analyzed in frequency domain, the feasibility of the designed controller and the superiority of the designed parameters are verified by simulation and experiment. The results show that, compared with the control parameters obtained by the traditional bandwidth method, the first-order active disturbance rejection control with the control parameters obtained by the proposed method can make the LCL grid-connected system obtain better traceability, immunity and quality of grid-connected current, and ensure that the LCL grid-connected inverter will not be off-grid under complex conditions. © 2021, Electric Power Automation Equipment Press. All right reserved.
引用
收藏
页码:174 / 182
页数:8
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