Multi-objective Optimal Control of DFIG for Unbalanced Grid Voltage

A multi-objective optimization control strategy based on artificial bee colony algorithm for unbalanced grid voltage doubly-fed induction generators (DFIG) is proposed to simultaneously suppress active power, reactive power double-frequency oscillations and stator current negative sequence components. The multi-objective function is established, and the multi-objective function is iteratively optimized through the artificial bee colony algorithm to obtain the optimal rotor negative-sequence current command value, and realize the multi-objective optimization control of the vector control DFIG. The simulation results verify the effectiveness of the DFIG multi-objective optimization control strategy.