Intelligent Control of Wind Conversion System based on PMSG using T-S Fuzzy Scheme

Year 2015, Volume: 5 Issue: 4, 952 - 960, 01.12.2015

Naziha Harrabi Mansour Souissi Abdel Aitouche Mohamed Chabaane

Abstract

This paper presents a control strategy for a wind conversion system (WECS) based on permanent magnet synchronous generator (PMSG) and AC/DC converter in the objective of ensuring maximum power generation. The control aim is to track the generator speed with wind velocity variation in order to maximize the power output and enhance system performance. For this purpose, the Takagi–Sugeno (TS) fuzzy model is adopted for the WECS modeling. The control gains are calculated by solving Linear Matrix Inequalities (LMIs). Finally, numerical simulations have been presented to check the effectiveness of our approach.

Keywords

Wind energy conversion system; PMSG; AC/DC converter; T-S fuzzy control; linear matrix inequality (LMI)

References

• H. Le-Huy, P. Viarouge, and J. Dickinson, “Application of power electronics in windmill generation systems,” ENERGEX’82 International Energy Conference, Regina, Canada, pp. 1080–1088, 1982.
• T. A. Lipo, “Variable speed generator technology options for wind turbine generators,” NASA Workshop, Cleveland, OH, May 1984.
• H. M. Nguyen and D. Subbaram Naidu, “Advanced control strategies for wind energy systems: an overview,” Proc. of IEEE PES Power Systems Conference and Exposition, pp. 1-8, Phoenix, AZ, USA, 2011.
• M. Mansour , M. N. Mansouri and M. F. Mmımouni, “ Study and control of a variable-speed wind-energy system connected to the grid”, International Journal of Renewable Energy Research (IJRER), vol. 1, no 2, pp. 96- , 2011.
• M. Kesraoui, N. Korichi, and A. Belkadi, “Maximum power point tracker of wind energy conversion system,” Renewable Energy, vol. 36, no. 10, pp. 2655-2662, 2011.
• H. Li et al., “Development of a unified design, test, and research platform for wind energy systems based on hardware-in-the-loop real time simulation,”IEEE Trans. on Industrial Electronics, vol.53, no. 4, pp. 3604-3608,
• A. Meharrar et al., “A variable speed wind generator maximum power tracking based on adaptive neuro-fuzzy inference system,” Expert Systems with Applications, vol. , no. 6, pp. 7659-7664, 2011.
• Simoes, M. Godoy, Bimal K. Bose, and Ronald J. Spiegel. "Fuzzy logic based intelligent control of a variable system." Power Electronics, IEEE Transactions on, vol 12, no. 1,pp. 87-95 ,1997. wind generation
• B. Bahraminejad, Iranpour, M. R., Esfandiari, E, “Pitch Control of Wind Turbines Using IT2FL Controller Versus T1FL Controller”,International Journal of Renewable Energy Research (IJRER), vol. 4, no 4, pp. , 2014.
• Q. Chen, L. H. Chen, and L. G. Wang, “Wind energy conversion systems using fuzzy sliding mode control,” Proc. of 2011 Chinese Control and Decision Conference, pp. 1011-1015, Guiyang, China, 2011.
• F. Valenciaga and M. R. Puleston, “High-order sliding control of a wind energy conversion system based on a permanent magnet synchronous generator,” IEEE Trans. on Energy Conversion, vol. 23, no. 3, pp. 860-867, 2008.
• D. H. Lee, J. B. Park, and Y. H. Joo, “A new fuzzy Lyapunov function for relaxed stability condition of continuous-time Takagi-Sugeno fuzzy systems,” IEEE Trans. on Fuzzy Systems, vol. 19, no. 4, pp. 785-791, Chian-Song Chiu, Zong-Han Li, and Yi-Huan Chen, “T- S Fuzzy Direct Maximum Power Point Tracking of Wind Energy Conversion Systems, ” International Journal of Fuzzy Systems, vol. 15, no. 2, June 2013.
• A. H. Besheer, H. M. Emara, and M. M. Abdel_Aziz, “Fuzzy based output feedback control for wind energy conversion system: an LMI approach,” Proc. of IEEE Power Systems Conference and Exposition, pp. 2030- , Atlanta, GA, 2006.
• M. Narimani and H. K. Lam, “Relaxed LMI-based stability conditions for Takagi-Sugeno fuzzy control systems dependent analysis approach,” IEEE Trans. on Fuzzy Systems, vol. 17, no. 5, pp. 1221-1228, 2009.
• P. Gahinet, A. Nemirovski, A. J. Laub, and M. Chilali, “LMI Control Toolbox,”. Natick, MA: The Math Works ,1995.
• C.Tseng, Bor sen Chen, and Uang H.J., “Fuzzy tracking control design for non linear dynamic system via ts fuzzy model,” IEEE Trans fuzzy system, vol. 9, pp. 381–392, F. Zheng, Q-G. Wang, and T. H. Lee., “Output tracking control of mimo fuzzy nonlinear systems using variable structure control approach,” IEEE Trans. Fuzzy system, vol.10, no. 6, 2002.
• Chong. Lin, Q-G. Wang, and T. H. Lee. “Output tracking control for nonlinear via t-s fuzzy model approach,” IEEE Trans. systems. Cybernetics, vol. 36, no. 2, 2006.
• M. Dahmane, J. Bosche, and A. El-Hajjaji, “Control of Wind Conversion System Used in Autonomous System,” Energy Procedia, vol. 62, pp. 482-491, 2014. A.
• Boyette, “Contrôle-commande d'un générateur asynchrone à double alimentation avec système de stockage pour la production éolienne,” Diss. University of Henri Poincaré-Nancy I, 2006.
• M. M. S., Camara, M. B., Camara, B. Dakyo, and H. Gualous, “Modélisation et commande d'une génératrice synchrone à aimant permanant pour la production et l'injection des énergies offshores dans un réseau,” Symposium de Génie Électrique, 2014.
• H. De Battısta, Mantz, R. J., “Dynamical variable structure controller for power regulation of wind energy conversion Transactions on, vol. 19, no. 4, pp. 756-763, 2004.
• Z. Qiu, Zhou, K., Li, Y., Yıngtao, “Modeling and control of diode rectifier fed PMSG based wind turbine”, Electric Utility Deregulation and Restructuring and Power Technologies (DRPT), 4th International Conference on. IEEE, pp. 1384-1388, 2011.
• L. Krichen, B. Francois, and A. Ouali, “A fuzzy logic supervisor for active and reactive power control of a fixed speed wind energy conversion system,”Electric Power Systems Research, vol .78, no. 3, pp. 418-424, 2008.