Dynamic Simulation Model of Wind Power Generation System Driven by Mechanism-data Fusion

Accurate modeling of wind turbine units is key to analyzing the impact of large-scale wind power integration on grid stability, safety, and reliability. However, traditional mechanistic models often suffer from issues such as simplified assumptions and parameter characteristic deviations, leading to low model accuracy and inefficiency in electromagnetic transient simulation models. To address these issues, this paper proposes a mechanism-data-driven dynamic simulation model for wind power generation systems. Based on the transfer function mechanistic model, actual operational data from wind turbines are utilized to correct the parameters of the mechanistic model through a data-driven approach, thereby improving model accuracy. The effectiveness of the proposed model is ultimately validated through case analysis.