Real-time fuzzy logic-based direct power control for wind energy systems

This paper presents a fuzzy logic-based direct power control (F-DPC) strategy for wind turbines using double-fed induction generators (DFIGs) to improve power quality and system performance. In contrast to conventional direct power control (C-DPC), the proposed approach minimizes power ripple, improves response time and significantly reduces total harmonic distortion (THD). Simulation results show that F-DPC reduces THD from 7.06 % to 1.53 % in super-synchronous mode, from 4.88 % to 0.92 % in synchronous mode, and from 4.67 % to 1.18 % in sub-synchronous mode, achieving an average improvement of 78.08 %. In addition, F-DPC effectively reduces power ripple by 72.29 % for active power and 70.93 % for reactive power, as well as overshoot and steady-state error ensuring a more stable and efficient power conversion process. To assess its robustness, the performance of F-DPC is further evaluated under parametric variations, including a 100 % increase in winding resistances and a 20 % reduction in inductances. The results confirm that F-DPC maintains stable power regulation, reduced fluctuations and improved dynamic response, outperforming C-DPC in terms of power ripple, overshoot and steady-state error. To validate its real-time feasibility, the F-DPC strategy is implemented and tested on an OPAL-RT OP4512 real-time simulator using the RT-LAB platform. The real-time simulation results closely match the MATLAB/Simulink results, confirming that F-DPC maintains efficient power control under various operating conditions. These results highlight the practical scalability of F-DPC for real wind energy systems and demonstrate its potential to improve grid integration, power quality and overall system reliability.