Optimal power dispatch for wind farm based on thermal mechanism analysis

As energy conversion systems, wind turbines (WTs) inevitably experience energy losses during operation, and the resulting over-temperature problem of key components has become a critical bottleneck in restricting system reliability and operational efficiency. This paper presents an optimal dynamic service quality performance improvement method that integrates the health status of WTs with system operational performance to address the issue of temperature rise in generator, power converter, and gearbox, which are caused by energy losses during WT operation. First, based on the analysis of electro-thermal coupling mechanisms, the intrinsic relationship between multi-unit energy distribution in WT and the thermal losses of multi-component systems was revealed. Sensitivity mapping models were established for gearbox oil temperature, generator winding temperature, and converter junction temperature relative to output power. Accordingly, a temperature-power dynamic correlation model suitable for real-time regulation was constructed. Building on this foundation, an innovative multi-component coordinated temperature control architecture integrating the generator-converter-gearbox was proposed. Additionally, system-level operational performance indicators such as node voltage safety margin and power tracking accuracy were incorporated into the regulation framework. Case studies conducted in MATLAB/Simulink demonstrate the effectiveness of the proposed method.