Optimization Strategy for Improving Adaptability of LCL-type Grid-connected Inverter Under Weak Grid
To improve the adaptability of an LCL-typegrid-connected inverterunder weak grid,anoptimization strategy for controller parameters based on ahybrid particle swarm optimization(PSO)algorithm is proposed.First,an LCL-type grid-connected inverter model with full feedforward voltage in the traditional power grid is established,and the imped-ance stability criterionis used to analyze the stability range of the inverter system under weak grid.Then,a multi-objec-tive function that includes phase angle error and system stability indicators is established,and the hybrid PSO algo-rithm is used to optimize the controller parameters,thus improving the system robustness in the event of changes in grid impedance.Finally,the effectiveness of the proposed strategy was verified through a simulation platform and experimen-tal results.
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维普
