New Energy GCI Impedance Identification Based on PSO-XGBoost Model

The large-scale grid connection of new energy units has brought many adverse effects on system stability, which has a negative impact on the grid connected inverter of new energy units, mechanism analysis and impedance characteristic identification of grid-connected inverter (GCI) are one of the key prerequisites for effectively addressing the above issues. Therefore, this paper proposes a new energy GCI impedance identification method based on the PSO-XGBoost model. The impedance characteristics of GCI were scanned using RT-LAB hardware-in-the-loop testing technique combined with small disturbance method to obtain the actual impedance values required for model validation. The effectiveness and superiority comparison experiments have shown that the PSO-XGBoost model has higher GCI impedance identification accuracy compared to other models.