Performance Evaluation of Wind Turbine Based on Multi-feature Parameter Coupling

Current research on wind turbine performance evaluation systems primarily focuses on evaluation for individual equipment or equipment based on simple state characteristic parameters. However, comprehensive evaluation systems for complex systems based on multi-feature parameters remain scarce. To enhance the efficiency of wind turbine performance evaluation, the monitoring data from newly developed blades and towers were coupled with the supervisory control and data acquisition (SCADA) system data for comprehensive analysis. A wind turbine performance evaluation model was established, which incorporated several modules: unit torque (load) control level, safety chain trigger review, maximum power control logic evaluation, and anemometer fault monitoring. The results indicate that the proposed model can effectively evaluate wind turbine performance and demonstrate definite engineering application value.