Effective Fuzzy Logic Control of a Stand-alone Photovoltaic Pumping System

Abstract

This paper presents an effective control of a stand-alone batteryless photovoltaic (PV) pumping system. The whole design (configuration and control) is oriented in order to minimize the cost and maximize the effectiveness, the efficiency and the reliability of the whole system. Beyond the withdrawal of the battery and the rotor speed sensor, the system is composed only of a DC-DC boost converter, a DC-AC inverter, an Induction Motor (IM) and a centrifugal pump. In order to control the dc-link voltage and maximize the efficiency of the IM, a Fuzzy Logic Controller (FLC) is introduced. The validity and the effectiveness of the proposed FLC is tested and confirmed by a simulation under various climate changes.

Keywords

• Photovoltaic pumping system; Induction Motor; Efficiency optimization; Fuzzy logic.

References

1. R. Parajuli, G. Pokharel, and P. Østergaard, “A comparison of diesel, biodiesel and solar pv-based water pumping systems in the context of rural nepal,” International Journal of Sustainable Energy, vol. 33, no. 3, pp. 536–553, 2014.
2. C. Gopal, M. Mohanraj, P. Chandramohan, and P. Chandrasekar, “Renewable energy source water pumping systems-a literature review,” Renewable and Sustainable Energy Reviews, vol. 25, no. 0, pp. 351 – 370, 2013.
3. M. Elgendy, B. Zahawi, and D. Atkinson, “Comparison of directly connected and constant voltage controlled photovoltaic pumping systems,” Sustainable Energy, IEEE Transactions on, vol. 1, pp. 184–192, Oct 2010.
4. A. Betka and A. Attali, “Optimization of a photovoltaic pumping system based on the optimal control theory,” Solar Energy, vol. 84, no. 7, pp. 1273 –1283, 2010.
5. P. Periasamy, N.K. Jain and I.P. Singh , “A review on development of photovoltaic water pumping system,” Renewable and Sustainable Energy Reviews, vol. 43, no. 0, pp. 918-925¸ 2015. Boukhalfa, [6] S. F. Bouchafaa, T. Aounallah, “Optimisation of a GPV by an Artificial Intelligence Technical,” International Journal of Renewable Energy Research, vol. 2, no. 4, pp. 730-735 , 2012.
6. N. Mazouz and A. Midoun, “Control of a dc/dc converter by fuzzy controller for a solar pumping system,” International Journalof Electrical Power and Energy Systems, vol. 33, no. 10, pp. 1623 – 1630, 2011.
7. S. Lalouni, D. Rekioua, T. Rekioua, and E. Matagne, “Fuzzy logic control of stand-alone photovoltaic system with battery storage,” Journal of Power Sources, vol. 193, no. 2, pp. 899 – 907, 2009.
8. M. Vitorino, M. Beltrao de Rossiter Correa, C. Jacobina, and A. Lima, “An effective induction motor control Electronics, IEEE Transactions on, vol. 58, pp. 1162– 1170, April 2011. pumping,” Industrial

9. M. Mimouni, M. Mansouri, B. Benghanem, and M. Annabi, “Vectorial command of an asynchronous motor fed by a photovoltaic generator,” Renewable Energy, vol. 29, no. 3, pp. 433 – 442, 2004.
10. A. Khiareddine, C. Ben Salah, and M. F. Mimouni, “New methodology of speed-control of photovoltaic pumping system,” Journal of Renewable and Sustainable Energy, vol. 5, no. 5, pp. –, 2013.
11. G. Boukettaya, L. Krichen, and A. Ouali, “A comparative study of three different sensorless vector control strategies for a flywheel energy storage system,” Energy, vol. 35, no. 1, pp. 132 – 139, 2010.
12. F. Parasiliti and P. Bertoldi, Energy Efficiency in Motor Driven Systems. Springer Berlin Heidelberg, 2003.
13. S. Sallem, M. Chaabene, and M. Kamoun, “Energy management algorithm for an optimum control of a photovoltaic water pumping system,” Applied Energy, vol. 86, no. 12, pp. 2671 – 2680, 2009.
14. T. Corrêa, S. S. Isaac, and S. Rocha Silva, “Efficiency optimization in stand-alone photovoltaic pumping system,” Renewable Energy, vol. 41, no. 0, pp. 220 – 226, 2012.
15. J. Mapurunga Caracas, G. De Carvalho Farias, L. Moreira “Implementation of a high-efficiency, high-lifetime, and low-cost converter for an autonomous photovoltaic water pumping system,” Industry Applications, IEEE Transactions on, vol. 50, pp. 631–641, Jan 2014.
16. M. Villalva, J. Gazoli, and E. Filho, “Comprehensive approach to modeling and simulation of photovoltaic arrays,” Power Electronics, IEEE Transactions on, vol. 24, pp. 1198–1208, May 2009.
17. B. Robyns, Y. Pankow, L. Leclercq, and B. François, “Equivalent continuous dynamic model of renewable energy systems,” in 7th International Conference on Modelling and Simulation of Electric machines, Converters and Systems:Electrimacs 2002, CD, 18-21 Aout 2002, Montreal, Canada, pp. 1–1, 2002.
18. B. François and J. Hautier, “Commande d’un onduleur triphasè de tension par modulateur de largeur et de position d’impulsions,” Revue Internationale de Génie Electrique, vol. 2, no. 3, pp. 359–387, 1999.
19. M. Elgendy, B. Zahawi, and D. Atkinson, “Assessment of perturb and observe mppt algorithm implementation techniques for pv pumping applications,” Sustainable Energy, IEEE Transactions on, vol. 3, pp. 21–33, Jan 2012.
20. M. Bahloul, M. Souissi, M. Chaabane, and L. Chrifi- Alaoui, “Takagi sugeno fuzzy observer based direct rotor field oriented control of induction machine,” in Systems and Control (ICSC), 2013 3rd International Conference on, pp. 419–426, Oct 2013.
21. I. Alsofyani and N. Idris, “A review on sensorless techniques for sustainable reliablity and efficient variable frequency drives of induction motors,” Renewable and Sustainable Energy Reviews, vol. 24, no. 0, pp. 111 – 121, 2013.
22. H. Kubota, K. Matsuse, and T. Nakano, “Dsp-based speed adaptive flux observer of induction motor,” IEEE Transactions on Industry Applications, vol. 29, pp. 344 –348, Mar./Apr. 1993.
23. A. Betka and A. Moussi, “Optimized solar water pumping system based on an induction motor driving a centrifugal pump,” in Proceedings of the 4th WSEAS International Conference on Applications of Electrical Engineering, AEE’05, pp. 305–313, 2005.
24. K. Benlarbi, L. Mokrani, and M. Nait-Said, “A fuzzy global efficiency optimization of a photovoltaic water pumping system,” Solar Energy, vol. 77, no. 2, pp. 203 – 216, 2004.
25. T. Ahonen, J. Tamminen, J. Ahola, and J. Kestila, “Frequency-converter-based hybrid estimation method for the centrifugal pump operational state,” Industrial Electronics, IEEE Transactions on, vol. 59, pp. 4803– 4809, Dec 2012.
26. B. Kumar, Y. K. Chauhan, and V. Shrivastava, “A comparative study of maximum power point tracking methods for a photovoltaic-based water pumping system,” International Journal of Sustainable Energy, vol. 33, no. 4, pp. 797–810, 2014.
27. R. Arulmurugan and N. Suthanthiravanitha, “Adaptive fuzzy logic control based optimal hopfield neural network of standalone photovoltaic system with battery storage,” Journal of Renewable and Sustainable Energy, vol. 6, no. 3, pp. –, 2014.
28. S.-M. Yang and F.-C. Lin, “Loss minimization control of vector controlled induction motor drives,” Journal of the Chinese Institute of Engineers, vol. 26, no. 1, pp. 37– 45, 2003.