李君卫,汤亚芳,张尚然.弱电网下LCL换流器谐振的自适应抑制研究[J].电测与仪表,2023,60(2):172-179. Li Jun-wei,Tang Ya-fang,Zhang Shang-ran.Research on Adaptive Suppression of LCL Converter Resonance under Weak Power Grid[J].Electrical Measurement & Instrumentation,2023,60(2):172-179.
弱电网下LCL换流器谐振的自适应抑制研究
Research on Adaptive Suppression of LCL Converter Resonance under Weak Power Grid
LCL type converters are widely used in grid-connected systems due to their small size and good filtering performance. However, the resonance suppression problem brought by its own application is also not negligible. The active damping method of capacitive current feedback is a commonly used resonance suppression method. In practical applications, the effect of the grid impedance on the LCL filter not be ignored, which will affect the resonance of the LCL filter. In this paper, an adaptive resonance suppression method based on genetic algorithm is proposed to optimize the RBF neural network. Firstly, the initial parameters of the RBF neural network are optimized according to the genetic algorithm. The parameters of the PI controller are used to identify the parameters of the RBF neural network. Identification, real-time correction of PI control parameters and active damping coefficient, thus achieving the LCL-type converter to maintain system stability when the grid impedance changes. The effectiveness of the method is verified by experiments.
