Speed Control of Photovoltaic Pumping System

Abstract

In this paper, an intelligent speed controller of permanent magnet synchronous motor is investigate. The motor speed leads a photovoltaic water pumping system. The photovoltaic generator is connected to boost converter which controlled by fuzzy logic technical, in view to aperate where the maximum power point tracking whatever the temperature and solar irradiance variation. So, to analyze the performance of speed control between the proportional integrator controller and fuzzy logic controlled. The synthesis of these speed controllers is developed and the simulations with Matlab/Simulink according to the progressive and abrupt load tests are shown and discussed.

Keywords

• Photovoltaic; Water pumping; Fuzzy logic controller; MPPT; Simulation.

References

1. with FLC with PI photovoltaic power tracking for the PV array using the fractional-order incremental conductance method”, Applied Energy, Vol. 88, No. 12, pp 4840-4847, December 2011.
2. L. Shuhui, A.H. Timothy, L. Dawen, H. Fei, “Integrating photovoltaic and power converter characteristics for energy extraction study of solar PV systems”, Renewable Energy, Vol. 36, No. 12 , pp. 3238-3245, December
3. K. June-Min, K. Bong-Hwan, N. Kwang-Hee, “Grid- connected photovoltaic multistring PCS with PV current variation reduction control”, IEEE Transactions on Industrial Electronics, Vol. 56, No. 11, pp. 4381–4388, December 2008.
4. A. Chaouachi, R.M. Kamel, K. Nagasaka, “A novel multi-model neuro-fuzzy-based MPPT for three-phase grid-connected photovoltaic system”, Solar Energy, Vol. , No. 12, pp. 2219–2229, December 2010.
5. Y. Himri, AS. Malik, A. Boudghene Stambouli, S. Himri, B. Draoui, “Review and use of the Algerian renewable energy for sustainable development”, Renewable and Sustain Energy Reviews, Vol. 13, Issues. 6-7, pp 1584– , August–September 2009.
6. KH. Hussein, I. Muta, T. Hoshino, M. Osakada, “Maximum photovoltaic power tracking an algorithm for rapidly Proceedings-Generation, Transmission and Distribution; Vol. 142,No. 1, DOI:10.1049/ip-gtd:19951577, pp. 59– January 1995. atmospheric conditions”. IEE
7. T. Noguchi, S. Togashi, R. Nakamoto, “Short current pulse based maximum power point tracking method for multiple photovoltaic and converter module system”, IEEE Trans Ind Electron 2002; Vol. 49, No. 1, pp .217– , February 2002.
8. N. Fernia, G. Petrone, G. Spagnuolo, M. Vitelli, “Optimization of perturb and observe maximum power point tracking method”. IEEE Trans Power Electron, Vol. 20, No. 4, pp.963–973,July2005.

9. C. Dorofte, U. Borup, F. Blaabjerg, “A combined two method MPPT control scheme for grid-connected photovoltaic systems”. Int Proc Eur Conf Power Electron DOI:10.1109/EPE.2005.219714, September 11–14, pp. –10,
10. T. Esram, J.W. Kimball, P.T. Krein, P.L. Chapman, P. Midya, “Dynamic maximum power point tracking of photovoltaic arrays using ripple correlation control”, IEEE Trans Power Electron, Vol. 21,No .5, pp. 1282 – , September 2006.
11. M.P. Alberto, A. Jorge, J.P. Miguel, A.M. Juan, “A modular strategy for isolated photovoltaic systems based on microcontroller”, Renewable Energy, Vol. 34, No. 7, pp. 1825–1832, July 2009.
12. F.F.M. El-Sousy, “Hybrid-Based Wavelet-Neural- Network Synchronous Motor Servo Drives”, IEEE Trans. Ind. Electron, vol. 57, no. 9, pp. 3157–3166, September.
13. Control for Permanent-Magnet H. Chaoui, P. Sicard, “Adaptive Fuzzy Logic Control of Permanent Magnet Synchronous Machines With Nonlinear Friction”, IEEE Transactions on Industrial Electronics, DOI: 10.1109/TIE.2011.2148678, Vol. 59, No. 2, February 2012.
14. T. Salmi, M. Bouzguenda, Adel Gastli, A. Masmoudi, Based “Matlab/Simulink Photovoltaic Cell”, International Journal of Renewable Energy Research, Vol. 2, No. 2, 20 February 2012.
15. M. Dris, B. Djilani, “Comparative Study of Algorithms to (MPPT) International Journal of Renewable Energy Research, Vol.3, No.4,14 November 2013. Systems”,
16. Y.S. Kumar, R. Gupta, “Maximum power point tracking of multiple photovoltaic arrays”, Students Conference on Engineering and Systems (SCES), DOI: 1109/SCES.2012.6199027, March 2012.
17. C. Ben Salah, M. Ouali, “Comparison of fuzzy logic and neural network in maximum power point tracker for PV systems” ,Electric Power Systems Research, Vol.81, pp. 43-50, January 2011.
18. A. Kalirasu,S. SekarDash, “Simulation of Closed Loop Controlled Boost Converter for Solar Installation” Serbian Vol.7,pp.121-130, May 2010. Electrical Engineering,
19. Dr. Adel, A. Elbaset, Dr.B.M. Hasaneen, “Design and simulation of DC/DC boost converter” ,The Twelfth International Middle East Power System Conference, Egypt, vol. 1 ,March 2008.
20. S.G. Malla, C.N. Bhende, S. Mishra, “Photovoltaic based Water Pumping System", International Conference on Energy, Automation and Signal (ICEAS), 28-30,India, December2011.
21. X. Wang, Y. Xing, Z. He, Y. Liu, “Research and Simulation of DTC Based on SVPWM of PMSM”, Procedia Engineering, International Workshop on Information and Electronics Engineering, DOI: 1016/j.proeng.2012.01.195,Vol. 29, pp. 1685–1689,
22. A. Panda, M.K. Pathak, S.P. Srivastava, “Solar Direct Torque Controlled Induction Motor Drive for Industrial Applications”, International Journal of Renewable Energy Research, Vol. 3, No. 4, December, 2013.
23. M.S. AïtCheikh, C. Larbes, G.F. TchoketchKebir, A. Zerguerras,“Maximum power point tracking using a fuzzy logic control scheme”, Renewable Energy, Vol.10, No. 3, pp.387–395, 2007.
24. Y. Wu, B. Zhang, J. Lu, K.L. Du, “FuzzyLogic and Neuro-Fuzzy System A Systemetic Introduction”, International Journal of Artificial Intelligence and Expert Systems,Vol. 2, No. 2, pp 47-80, 2011.
25. A. Terki, A. Moussi, A. Betka, N. Terki, “An improved efficiency of fuzzy logic control of PMBLDC for PV pumping system”, Applied Mathematical Modelling, Vol. 36, No. 3, DOI : 10.1016/j.apm.2011.07.042, pp. –944, March 2012.