LCL Filter Parameter Optimization Design Based on Multi-Objective Particle Swarm

被引：0

作者：

Cao, Hannan ^{[1
]}

Zheng, Xuemei ^{[2
]}

Liu, Zhuang ^{[2
]}

机构：

[1] Nanyang Technol Univ, Sch Comp Sci & Engn, Singapore, Singapore

[2] Harbin Inst Technol, Elect Engn Dept, Harbin, Peoples R China

来源：

PROCEEDINGS OF THE 2019 14TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2019) | 2019年

基金：

中国国家自然科学基金;

关键词：

LCL filter; passive damping; Pareto; multi-objective particle swarm optimization; CONVERTERS;

D O I：

10.1109/iciea.2019.8833889

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The parameters of LCL filter is an important key in the distributed new energy power generation. It will influence the quality of the grid and influence the development of new distributed generation system. To solve this problem, this paper proposes a multi-objective particle swarm optimization method (H-MOPSO) based on Pareto to optimize the parameters of LCL filter. The paper adopt the passive damping method to solve the resonance problem of the LCL filter. Then the H-MOPSO method is designed by the Pareto adaptive grid method and the adaptive mutation of population diversity. After that the filter parameters are optimized by designing the optimization variables, the objective functions and the constraints. Finally, the proposed method is verified by simulation in MATLAB/Simulink.

引用

页码：2467 / 2472

页数：6

共 13 条

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