International Journal of Renewable Energy Research-IJRER
Comparative Study of PI, RST, Sliding Mode and Fuzzy Supervisory Controllers for DFIG based Wind Energy Conversion System
Abstract
This work aims to present a comparative study of four controllers for Double Fed Induction Generator (DFIG) based Wind Energy Conversion System (WECS). The DFIG is directly connected to the grid and driven by the rotor through an AC/DC/AC converter. A model was developed for each component (Turbine, DFIG and Rectifier-Filter-Inverter) of the wind system. The PWM control method is applied to the inverter to drive the DFIG from the rotor circuit. To ensure high performance and better enforcement of DFIG, a direct vector control strategy of active and reactive power of the stator has been developed. The synthesis of conventional PI controller and advanced RST, Sliding Mode (SM) and Fuzzy Supervisory (FS) controllers is performed. The system’s performance has been tested and compared according to reference tracking, robustness, and disturbance rejection. A set of simulation studies are carried-out on a WECS model to prove the effectiveness of the proposed controllers design.
Keywords
Full Text:
PDFReferences
Belmokhtar, K., Doumbia, M. L. and Agbossou, K., “Modelling and fuzzy logic control of DFIG based wind energy conversion systemsâ€, IEEE, International Symposium on Industrial Electronics (ISIE), Hangzhou, China, 2012.
Soltani, J. and Payam, A. F., “A robust adaptive sliding- mode controller for slip power recovery induction machine drives,†Power Electronics and Motion Control Conference, vol.3, pp. 1-6, 2006.
Bouhamida, M. and Denai, M.A., “Robust stabilizer of electric power generator using H∞ with placement constraintsâ€, Journal of Elec. Eng. (JEE), Vol. 56, No. 7-8, pp. 176-182, 2005.
Hachicha, F. and Krichen, L., “Performance analysis of a wind energy conversion system based on a doubly-fed induction generatorâ€, IEEE, 8th International Multi Conference on Systems, Signals & Devices, pp.978-984, 2011.
Poitiers, F., Machmoum, M., Le Doeuff, R. and Zaim, M.E., “Control of a doubly-fed induction generator for wind energy conversion systems,†IEEE Trans, Renewable Energy, Vol. 3, N°. 3, pp.373-378, 2001.
Gilbert, C., Sousa, D. and Bose, B. K., “Fuzzy logic applications to power electronics and drives - an overview,†IEEE, International Conference on Industrial Electronics, Control, and Instrumentation, Vol. 1, Orlando, FL, pp.57-62, 1995.
Slootweg, J. G., Polinder, H. and Kling, W. L., “Initialization of wind turbine models in power systems dynamic simulations,†IEEE, Power Tech Conference, Porto Portugal, Vol. 4, 2001.
Siegfried Heier, Grid integration of wind energy conversion systems, John Wiley & Sons Ltd, ISBN 0-471-97143-X, 1998.
Soloumah, H. M. and Kar, N. C., “Fuzzy logic based vector control of a doubly-fed induction generator for wind power application,†Wind Engineering, vol. 30, no. 3, pp. 201-223. April 2006.
Islam, M.R., Youguang, G. and Jian, G.Z., “Steady state characteristic simulation of DFIG for wind power system,†IEEE, Electrical and Computer Engineering (ICECE), pp. 151-154, Dhaka 2010.
Slotine, J.J., “Adaptive Sliding controller synthesis for nonlinear systemsâ€, International Journal of Control, Vol 43. N°6, pp 1631-1651, 1986.
Zhang, L., Watthansarn, C. and Shehered, W., “A matrix converter excited doubly-fed induction machine as a wind power generator,†IEEE, Seventh International Conference on Power Electronics and Variable Speed Drives, vol. 2, pp. 532-537, 1998.
Messaouda, M. and Ouddane, A, Contrôle des puissances actives et réactives de la MADA intégrée dans un système éolien, Master thesis, Department of Automatic, University Mohamed Boudiaf USTO, Algeria, 2011.
Mai, T.D., Mai, B.L., Pham, D.T. and Nguyen, H.P., “Control of doubly-fed induction generators using Dspace R&D controller board – an application of rapid control coordinated with Matlab/Simulinkâ€, International Symposium on Electrical & Electronics Engineering, Track. 3, pp. 302-307, 2007.
Hazzab, A., Commande des systèmes par logique floue, Réseau de neurones et Algorithmes géniques, Ph.D. thesis, University Mohamed Boudiaf USTO, Algeria, 2006.
Hong, H.L., Phan, Q.D., Le M.P., Le D.K. and Nguyen, H.N., “A few fuzzy logic approach for control system of wind turbine with doubly fed induction generator,†IEEE International Forum on Strategic Technology (IFOST), pp.134-139, 2010.
Porcyk, T. J. and Mamdani, E.H., “A linguistic self-organizing process controller,†Automatic, vol.15, pp.15 – 30, 1979.
Ram, A. G. and Lincoln, A. S., “Fuzzy adaptive PI controller for single input single output non-linear system,†ARPN, Journal of Engineering and Applied, Sciences. Vol. 7, NO. 10, pp. 1273-1280, 2012.
Belabbes, B. Hamane, M. Bouhamida, A. Draou, M. Benghanem., “Power Control of a Wind Energy Conversion System based on a Doubly Fed Induction Generator using RST and Sliding Mode Controllers,†International Conference on Renewable Energies and Power Quality (ICREPQ'12), Santiago de Compostella, Spain, 2012.
Yao, X.I., Liu, Z.L and Cui G.S., “Decoupling Control of Doubly-Fed Induction Generator based on Fuzzy-PI Controller,†IEEE 2nd International Conference on Mechanical and Electrical Technology (ICMET), pp. 226-230, Singapore, 2010.
B. Hamane, M. L. Doumbia, A. Cheriti, K. Belmokhtar., “Comparative Analysis of PI and Fuzzy Logic Controllers for Matrix Converter,†IEEE International Conference on Ecological Vehicles and Renewable Energies (EVER), pp. 25-27. Monte-Carlo (Monaco), 2014.
DOI (PDF): https://doi.org/10.20508/ijrer.v5i4.2915.g6705
Refbacks
- There are currently no refbacks.
Online ISSN: 1309-0127
Publisher: Gazi University
IJRER is cited in SCOPUS, EBSCO, WEB of SCIENCE (Clarivate Analytics);
IJRER has been cited in Emerging Sources Citation Index from 2016 in web of science.
WEB of SCIENCE in 2025;
h=35,
Average citation per item=6.59
Last three Years Impact Factor=(1947+1753+1586)/(146+201+78)=5286/425=12.43
Category Quartile:Q4