Maximum power extraction with numerical grey relational analysis sensorless controller for wind-turbine generator

摘要

This paper proposes numerical grey relational analysis (NGRA) based sensorless controllers for a small wind generation system. The maximum power of wind-turbine generator varies with the wind speed. Optimal wind energy extraction is operated in variable-speed variable-frequency model. The sensorless control strategies consist of two NGRAs for maximum power extraction. The first NGRA is used the generator output voltage to estimate the maximum power under various wind speed. Then according to maximum power, the convert duty cycle is adjusted by using the second NGRA. For a permanent-magnet synchronous generator (PMSG), experimental results are provided to show the effectiveness of the proposed model.