Model Predictive Control of Offshore Wind Power Grid‐Tied Inverter Based on Inductance Parameter Identification and Grid Frequency Deviation Suppression

ABSTRACT

To enhance the parameter robustness of model predictive control for grid‐tied inverters in offshore wind power grid‐tied systems, an advanced inductance identification method based on a minimum‐order state observer is proposed. First, an improved grid voltage observer with merely one gain parameter is designed. Besides, an inductance identification approach based on a grid voltage observer is proposed. Second, a thorough analysis of the observer characteristics is carried out. It is discovered that by adjusting the observer gain, a trade‐off can be achieved: a larger gain accelerates the dynamic convergence speed, while a smaller one fortifies its robustness against grid frequency deviations. This offers valuable guidance for parameter design. Finally, comparative experimental studies are conducted, which validate the effectiveness of the proposed method in improving the robustness of model predictive control parameters.