Neural MPPT control of wind generators with induction machines without speed sensors

IEEE Transactions on Industrial Electronics

Volumn 58, Issue 1, 2011, Pages 37-47

  Pucci, Marcello ^a   Cirrincione, Maurizio ^a,b  

^a CNR   (Italy)

^b UNIVERSITÉ DE TECHNOLOGIE DE BELFORT MONTBÉLIARD   (France)

Author keywords

Induction generator; maximum power point tracking (MPPT); neural networks (NNs); wind generation

Indexed keywords

CHARACTERISTIC SURFACES; EXPERIMENTAL APPLICATION; FIELD ORIENTED CONTROL; FULL-ORDER OBSERVER; GROWING NEURAL GAS NETWORKS; INDUCTION GENERATOR; INDUCTION MACHINES; MACHINE SPEED; MAXIMUM POWER POINT TRACKING; OFFLINE; SENSOR-LESS TECHNIQUES; SPEED PROFILE; SPEED SENSORS; SURFACE FUNCTIONS; TANGENTIAL SPEED; TIP SPEED RATIO; TOTAL LEAST SQUARES; VOLTAGE SOURCE CONVERTERS; WIND GENERATION; WIND GENERATORS;

ASYNCHRONOUS GENERATORS; ELECTRIC UTILITIES; OPTICAL FLOWS; PUMPS; SPEED; WIND POWER;

NEURAL NETWORKS;

EID: 78650208825     PISSN: 02780046     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIE.2010.2043043     Document Type: Article

References (25)

1. M. P. Kazmierkowski, R. Krishnan, and F. Blaabjerg, Control in Power Electronics. London, U.K.: Academic, 2002.
2. M. Godoy Simões and F. A. Farret, Alternative Energy Systems: Design and Analysis With Induction Generators, 2nd ed. Boca Raton, FL: CRC, 2007.
3. H. Li and Z. Chen, "Overview of different wind generator systems and their comparisons," IET Renew. Power Gener., vol. 2, no. 2, pp. 123-138, Jun. 2008.
4. A. G. Abo-Khalil, D.-C. Lee, and J.-K. Seok, "Variable speed wind power generation system based on fuzzy logic control for maximum output power tracking," in Proc. 35th Annu. IEEE PESC, Aachen, Germany, 2004, pp. 2039-2043.
5. R. Cárdenas and R. Peña, "Sensorless vector control of induction machines for variable-speed wind energy applications," IEEE Trans. Energy Convers., vol. 19, no. 1, pp. 196-205, Jun. 2005.
6. L. Mihet-Popa, F. Blaabjerg, and I. Boldea, "Wind turbine generator modeling and simulation where rotational speed is the controlled variable," IEEE Trans. Ind. Appl., vol. 40, no. 1, pp. 3-10, Jan./Feb. 2004.
7. R. Leidhold, G. Garcia, and M. I. Valla, "Maximum efficiency control for variable speed wind driven generators with speed and power limits," in Proc. 28th Annu. Int. Conf. IEEE Ind. Electron. Soc., Sevilla, Spain, Nov. 5-8, 2002, pp. 157-162.
8. M. G. Simões, B. K. Bose, and R. J. Spiegel, "Fuzzy logic based intelligent control of a variable speed cage machine wind generation system," IEEE Trans. Power Electron., vol. 12, no. 1, pp. 87-95, Jan. 1997.
9. M. G. Simões, B. K. Bose, and R. J. Spiegel, "Design and performance evaluation of a fuzzy-logic-based variable-speed wind generation system," IEEE Trans. Ind. Appl., vol. 33, no. 4, pp. 956-965, Jul./Aug. 1997.
10. E. Koutroulis and K. Kalaitzakis, "Design of a maximum power tracking system for wind-energy-conversion applications," IEEE Trans. Ind. Electron., vol. 53, no. 2, pp. 486-494, Apr. 2006.
11. T. Thiringer and J. Linders, "Control by variable rotor speed of a fixed-pitch wind turbine operating in a wide speed range," IEEE Trans. Energy Convers., vol. 8, no. 3, pp. 520-526, Sep. 1993.
12. T. Senjyu, Y. Ochi, E. Muhando, N. Urasaki, and H. Sekine, "Speed and position sensor-less maximum power point tracking control for wind generation system with squirrel cage induction generator," in Proc. PSCE, Oct. 29-Nov., 1, 2006, pp. 2038-2043.
13. M. Y. Uctug, I. Eskandarzadeh, and H. Ince, "Modelling and output power optimisation of a wind turbine driven double output induction generator," Proc. Inst. Elect. Eng. - Elect. Power Appl., vol. 41, no. 2, pp. 33-38, Mar. 2004.
14. M. Karrari, W. Rosehart, and O. P. Malik, "Comprehensive control strategy for a variable speed cage machine wind generation unit," IEEE Trans. Energy Convers., vol. 20, no. 2, pp. 415-423, Jun. 2005. (Pubitemid 40843743)
15. C. Shao, X. Chen, and Z. Liang, "Application research of maximum wind-energy tracing controller based adaptive control strategy in WECS," in Proc. IPEMC, Aug. 2006, vol. 1, pp. 1-5.
16. P. Vas, Sensorless Vector and Direct Torque Control. Oxford, U.K.: Oxford Science, 1998.
17. M. Cirrincione, M. Pucci, G. Cirrincione, and G. Capolino, "An adaptive speed observer based on a new total least-squares neuron for induction machine drives," IEEE Trans. Ind. Appl., vol. 42, no. 1, pp. 89-104, Jan./Feb. 2006.
18. M. Cirrincione, M. Pucci, G. Cirrincione, and G. Capolino, "Sensorless control of induction machines by a new neural algorithm: The TLS EXIN neuron," IEEE Trans. Ind. Electron., vol. 54, no. 1, pp. 127-149, Feb. 2007, Special Section Neural Network Applications in Power Electronics and Motor Drives (Guest Editor B.K. Bose).
19. G. Cirrincione, M. Cirrincione, J. Hérault, and S. Van Huffel, "The MCA EXIN neuron for the minor component analysis: Fundamentals and comparisons," IEEE Trans. Neural Netw., vol. 13, no. 1, pp. 160-187, Jan. 2001.
20. L. L. Freris, Wind Energy Conversion System. London, U.K.: Prentice-Hall, 1990.
21. S. Heier, Grid Integration of Wind Energy Conversion Systems. New York: Wiley, 1998.
22. B. Fritzke, "Growing cell structures - A self-organizing network for unsupervised and supervised learning," Neural Netw., vol. 7, no. 9, pp. 1441-1460, 1994.
23. B. Fritzke, "Incremental learning of linear local mappings," in Proc. ICANN, Paris, France, 1995, pp. 217-222.
24. B. Fritzke, "A growing neural gas network learns topologies," in Advances in Neural Information Processing Systems 7. Cambridge, MA: MIT Press, 1995.
25. G. Cirrincione, M. Cirrincione, C. Lu, and S. Van Huffel, "A novel neural approach to inverse problems with discontinuities (the GMR neural network)," in Proc. IEEE IJCNN, Portland, OR, Jul. 20-24, 2003, pp. 3106-3111.