Modeling of doubly fed induction generator based wind energy conversion system and speed controller

Authors : Endalew HAİLE, Getachew WORKU, Asrat Mulatu BEYENE, Milkias TUKA

Pages : 46-59

Doi:10.30521/jes.854669

View : 10 | Download : 9

Publication Date : 2021-03-31

Article Type : Research Paper

Abstract :In this paper, modeling of doubly fed induction generator insert ignore into journalissuearticles values(DFIG); based wind energy conversion system insert ignore into journalissuearticles values(WECS); and generator speed controller are presented. The System Identification Toolbox of MatLab is used to develop the linear model of the WECS by considering the wind speed as input and speed of the generator as output. Two models, namely Auto Regressive with eXogenous Input insert ignore into journalissuearticles values(ARX); and Auto-Regressive Moving Average with eXogenous Input insert ignore into journalissuearticles values(ARMAX);, are estimated. We used the ARX221 model structure with the best fit of 84.31%, Final Prediction Error insert ignore into journalissuearticles values(FPE); of 0.0433 and Mean Square Error insert ignore into journalissuearticles values(MSE); of 0.0432. The Ziegler-Nichols insert ignore into journalissuearticles values(Z-N); method and the fuzzy logic technique are employed in the proportional integral derivative insert ignore into journalissuearticles values(PID); controller design to control the speed of the generator. The classical Z-N PID used for the responses of the system is observed to be insufficient for both uniform and variable inputs, hence, a better response has been obtained by applying the fuzzy logic-based PID controller. The present study proves that the fuzzy logic based control enhances the speed regulation of generator in the WECS by overcoming the effect of varying wind speed.
Keywords : Fuzzy logic, PID, Speed control, WECS model, Ziegler Nichols Z N, method