Parameters Optimization of Photovoltaic Power Generation System Based on Multi-time Scale Reduction

In order to study the oscillation and parameter optimization of photovoltaic power generation system simply and effectively, a small signal model of photovoltaic power generation system is established considering the main circuit and control strategy. Four reduced models are obtained by ignoring fast dynamics. According to the reservations of the oscillation modes of each model, the appropriate reduced model is selected to analyze the influence of some factors on the oscillation modes. Based on the above analysis results, the optimization range of system control parameters is greatly reduced, and the system parameters are optimized by genetic algorithm. The small disturbance stability before and after optimization of system parameters is also compared in MATLAB. The simulation results show that the reduced model can correctly reflect the oscillation modes of photovoltaic power generation system and the influence of each factor on the oscillation modes. The optimized system can reach a stable state more quickly under small disturbances, which verifies the effectiveness of the proposed method.