Model predictive power control with Kalman filter for grid‐tied inverter with parameter variation

Model predictive power control is considered to be a promising algorithm owing its simple structure and fast dynamic response. This relies heavily on the model parameter variation adds difficulty gain accurate model, which affects static performance of grid-tied inverter. Here, with Kalman filter (MPPCKF) proposed address above issue. On basis grid-current mathematical gotten estimate AC-filter inductance introduced suppress noise interference calculating inductance. Finally, simulation an experimental platform are established demonstrate validity approach. The results exhibit that MPPCKF can effectively distortion active-/reactive-power ripple inverter caused by mismatched model.