@inproceedings{111ef76c447e488889f539ba7e117967,
title = "A comparative study of DFIG-based wind energy conversion systems with Fuzzy-PID and Fuzzy-logic controllers",
abstract = "This article explores and compares the dynamic performance of two wind energy conversion systems (WECS): (1) the doubly fed induction generator (DFIG) based WECS incorporating voltage source converter (VSC) with a fuzzy-logic controller; (2) the DFIG based WECS incorporating VSC with a fuzzy-proportional integral derivative (PID) controller. This is done to reduce steady-state error while also reducing overshoot and undershoot oscillations and settling time of the voltage/current or power out signals and dc-link voltage. The grid-side converter is used to adjust the dc-link voltage and reactive power to their respective reference values. In addition, the rotor side converter regulates the DFIG's rotor speed in order to maintain active power output. The vector control approach is applied to obtain adequate system control. MATLAB/SIMULINK is used to simulate the control system. The simulation findings indicated that the DFIG-based WECS with a fuzzy-PID controller outperformed more effectively than the DFIG-based WECS with fuzzy logic controller.",
keywords = "DFIG, Fuzzy-logic controller, Fuzzy-PID controller, Reactive power, wecs, Wind turbine",
author = "Ntuli, {Welcome Khulekani} and Gulshan Sharma and Musasa Kabeya",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE PES/IAS PowerAfrica, PowerAfrica 2022 ; Conference date: 22-08-2022 Through 26-08-2022",
year = "2022",
doi = "10.1109/PowerAfrica53997.2022.9905240",
language = "English",
series = "2022 IEEE PES/IAS PowerAfrica, PowerAfrica 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2022 IEEE PES/IAS PowerAfrica, PowerAfrica 2022",
address = "United States",
}
