Adaptive Fuzzy-PI Control of Wind Energy Conversion System Based DFIG under Voltage Dip

The Proportional-Integral (PI) and Fuzzy Logic Controllers (FLC) cannot deal accurately with the system variation. To overcome the drawbacks of PI and FLC regulators, the Adaptive Fuzzy-PI Controllers (AFPICs) are configured. This paper presents a comparison between three different controllers based control methodology for Variable Speed Wind Energy Conversion Systems (WECSs) by means of Doubly Fed Induction Generator (DFIG). Artificial Intelligence (AI) based FLCs is performed to improve the system efficiency and performance under Small Disturbance (SD) and Large Disturbance (LD) cases. To test the PI, FLC, and AFPIC robustness, simulations are done during abrupt wind speed variation (SD), and voltage dip fault (LD). The simulation results show that the proposed AFPIC delivers improved power control, better response rise time, reduced overshoot, undershoot, and settling time compared to classical PI and Fuzzy controllers. The proposed control is proved by simulation using Matlab/Simulink-R2016b. © 2020 IEEE.