A Fuzzy-PI Control Technique Designed for Power Control of Wind Turbine Based on Induction Generator

Abstract:

In this paper, we develop the overall model of the wind energy conversion systems (WECS) structure based on induction generator (IG). The goal of this paper is to control the power generated by the WECS and transmitted to the grid. We propose a new control strategy based on fuzzy logic in order to control the power of the WECS. The main drawback is that the WECS is highly nonlinear. An adaptive Fuzzy-PI power controller is proposed to overcome this problem. A Simulation study is done to validate the strategy used in power control.

• Periodical: Advanced Materials Research (Volumes 875-877)
• Pages: 1676-1682
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.875-877.1676
• Online since: February 2014
• Authors: Abdel Ghani Aissaoui, Ahmed Tahour, Mohamed Abid, Najib Essounbouli, Frederic Nollet
• Keywords: Fuzzy Pi Control, Induction Generator, Power Control, Wind Energy

References

[1] A. Mirecki : Etude comparative de chaînes de conversion d'énergie dédiées à une éolienne de petite puissance. Phd Thesis, National Polytechnic Institute of Toulouse, 5-April-(2005).

[2] F. Poitiers : Etude et Commande de Génératrice Asynchrone pour L'utilisation de L'énergie Eolienne. Phd Thesis, University of Nantes, 19-december-(2003).

[3] K. Amei, Y. Takayasu,  T. Ohji,  M. Sakui: A Maximum Power Control of Wind Generator System Using a Permanent Magnet Synchronous Generator and a Boost Chopper Circuit".  IEEE Conference on Power Conversion, PCC Osaka (2002).

DOI: 10.1109/pcc.2002.998186

[4] A. Bouscayrol, Ph. Delarue, X. Guillaud: Power strategies for maximum control structure of a wind energy conversion system with a synchronous machine". Renewable Energy 30 (2005), p.2273–2288.

DOI: 10.1016/j.renene.2005.03.005

[5] C. Mi, M. Filippa, J. Shen and N. Natarajan: Modeling and Control of Variable Speed Constant Frequency Synchronous Generator With brushless Exciter. IEEE Transactions on industry application, vol, 40, No, 2, pp.565-573, March/april (2004).

DOI: 10.1109/tia.2004.824504

[6] G. A. Smith, K.A. Nigim, Wind-energy Recovery by a Static Scherbius Induction Generator,. Proc. IEE, 1981, 128, pp.317-324.

DOI: 10.1049/ip-c.1981.0051

[7] H. Camblong: Minimisation de l'impact des perturbations d'origine éolienne dans la Génération d'électricité par des aérogénérateurs à vitesse variable. Phd Thesis, ENSAM Bordeaux, (2003).

[8] L. Refoufi, B.A.T. Al Zahawi, A.G. Jack, Analysis and modelling of the steady state behavior of the static Kramer induction generator,. IEEE Transactions on Energy Conversion, Volume 14, Issue 3, 1999, pp.333-339.

DOI: 10.1109/60.790879

[9] S. El Aimani, Modélisation de différentes technologies d'éoliennes intégrées dans un réseau de moyenne tension,. Phd Thesis, Ecole Centrale de Lille (ECL) jointly accredited with The University of Science and Technology of Lille 1 (USTL), 06 december (2004).

[10] N. Cirstea, A. Dinu, J.G. Khor,M. McCormick: Neural and Fuzzy Logic Control of Drives and Power Systems (Newnes, Oxford, 2002).

DOI: 10.1016/b978-075065558-3/50006-4

[11] BIMAL K. BOSE, Expert System, Fuzzy logic, and neural network Applications in power Electronics and motion control, Proceedings of the IEEE, Vol. 82, NO. 8 August 1994, 1303-1321.

DOI: 10.1109/5.301690

[12] Jeffrey T. Spooner, Manfredi Maggiore, Raul Ordonez, Kevin M. Passino:  Stable adaptative control and estimation for nonlinear system, Neural and fuzzy approximator techniques (Willey-Interscience, 2002).

DOI: 10.1002/rnc.956