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Study and Control of Photovoltaic Water Pumping System

  • Khlifi, Mohamed Arbi (Dept. of Electrical Engineering, Faculty of Engineering, Hail University, Research Laboratory SIME)
  • Received : 2014.11.26
  • Accepted : 2015.07.30
  • Published : 2016.01.01

Abstract

Solar photovoltaic pumping system is one of most important of renewable energy applications especially in rural areas. Besides, the control strategy for standalone solar pumping system based on induction motor and without DC/DC converter has been widely studied and discussed in the literature. This topology is of great concern due its economic issues, especially when a standard frequency converter (SFCs) with scalar control is used instead of a dedicated PV inverter. This paper proposes an external control module to generate SFCs frequency reference in order to ensure both maximum power point tracking (MPPT). We present method of modeling and control of photovoltaic pumping system based centrifugal pump controlled by new improved incremental conductance in order to optimize the price and operation of pumping system this MPPT algorithm have many advantages like can be eliminate proportional integral controller It is a low cost solution since it requires no additional power equipment. The induction motor driven pump that is powered by a solar array is controlled by the indirect field oriented control (IFOC). The effectiveness of the proposed approach is illustrated by simulations carried out under Matlab Software. The experimental results are compared with simulation results.

Keywords

References

  1. M. Chergui, M. Bourahla, “Contribution to Improve the Direct Torque Control in the Photovoltaic pumping”, IEEE Conference on Developments in E-systems Engineering (DESE), pp. 602-607, 2011.
  2. S.K. Kollimalla, M.K. Mishra, “Adaptive Perturb & Observe MPPT Algorithm for Photovoltaic System”, IEEE on Power and Energy Conference at Illinois (PECI), pp. 42-47, 2013.
  3. A. Khiareddine, C. Ben Salah, M.F. Mimouni, “Determination of the target speed corresponding to the optimum functioning of a photovoltaic system pumping and regulation of the water level”, International Conference on Electrical Engineering and Software Applications (ICEESA), pp. 1-5, 2013.
  4. V. Vongmanee, “The Photovoltaic Water Pumping System Using Optimum Slip Control to Maximum Power and Efficiency”, IEEE Conference on power tech, pp. 1-5, 2005.
  5. A.O. Taufik, M. Anwari, M. Taufik, “Modeling and Simulation of Photovoltaic Water Pumping System”, Third Asia International Conference on Modeling & Simulation, pp. 497-502, 2009.
  6. A. Acakpovi, F.F. Xavier, R. Awuah-Baffour, “Analy-tical method of sizing photovoltaic water pumping system”, International Conference on Adaptive Science & Technology (ICAST), pp. 65-69, 2012.
  7. D. Sera, L. Mathe, T. Kerekes, S.V. Spataru, R. Teodorescu, “On the Perturb-and-Observe and Incre-mental Conductance MPPT Methods for PV Systems”, IEEE Journal of Photovoltaics, Vol. 3, No.3, pp. 1070-1078, 2013. https://doi.org/10.1109/JPHOTOV.2013.2261118
  8. N.N. Singh, S.P. Singh, D. Singh, B. Singh, R.P. Vishvakarma, “An Efficient Control on Photovoltaic Energy Conversion System Using Modified Perturb and Observe Technique for Stand Alone Applications”, IEEE Student’s Conf. on Electrical, Electronics and Computer Science (SCEECS), pp.1-4, 2012.
  9. S.G. Malla, C.N. Bhende ,S. Mishra, “Photovoltaic based Water Pumping System”, IEEE Conference on Energy, Automation, and Signal (ICEAS), pp.1-4, 2011.
  10. Jacob James Nedumgatt, K.B. Jayakrishnan, S. Umashankar, D. Vijayakumar, D.P. Kothari “Perturb and Observe MPPT Algorithm for Solar PV Systems-Modeling and Simulation”, IEEE On India Conference (INDICON), pp.1-6, 2011.
  11. M. Khelif, A. M’raoui, A.Malek, “Simulation, optimization and performance analysis of an analog, easy to implement, perturb and observe MPPT technique to be used in a 1.5 KWp photovoltaic system, IEEE on Renewable and Sustainable Energy Conference (IRSEC), pp.10-17, 2013.
  12. F.Z. Amatoul, M.T. Lamchich, A. Outzourhit, “Design Control of DC/AC Converter for a grid Connected PV Systems using Matlab/Simulink”, IEEE Conference on Multimedia Computing and Systems (ICMCS) , pp.1-7, 2011.
  13. L. Piegari, R. Rizzo , “Adaptive perturb and observe algorithm for photovoltaic maximum power point tracking”, IET journals & magazines on Renewable Power Generation, Vol.4, No.4, pp. 317-328, 2010. https://doi.org/10.1049/iet-rpg.2009.0006
  14. S.Bal, B. C.Babu, “Comparative Study between P&O and Current Compensation Method for MPPT of PV Energy System” IEEE Conference on Engineering and Systems (SCES), pp.1-6, 2012.
  15. J. Chauhan, P. Chauhan, T. Maniar, A. Joshi, “com-parison of MPPT Algorithms for DC-DC Converters Based Photovoltaic Systems”, IEEE Conference on Energy Efficient Technologies for Sustainability (ICEETS), pp. 476-481, 2013.
  16. R.Roshan, Y.Yadav, S.Umashankar, D.Vijayakumar, D.P. Kothari, “Modeling and Simulation of Incre-mental Conductance MPPT Algorithm Based Solar Photo Voltaic System using CUK Converter”, IEEE Conference on Energy Efficient Technologies for Sustainability (ICEETS), pp. 584-589, 2013.
  17. A. Safari, S. Mekhilef, “Simulation and Hardware Implementation of Incremental Conductance MPPT with Direct Control Method Using Cuk Converter”, IEEE Transaction on Industrial Electronics, Vol. 58, No. 4, pp. 1154-1161, 2011. https://doi.org/10.1109/TIE.2010.2048834
  18. Yang, Y., and Blaabjerg, F., “Low-voltage ride-through capability of a single-stage single-phase photovoltaic system connected to the low-voltage grid,” Int. J. Photoenergy, Vol. 2013, pp. 1-9, 2013.
  19. Carrasco, J. E., Tena, J. M., Ugena, D., Alonso-Martinez, J., Santos-Martin, D., and Arnaltes, S., “Testing low voltage ride through capabilities of solar inverters,” Electr. Power Syst. Res.,Vol. 96, pp. 111-118, 2013. https://doi.org/10.1016/j.epsr.2012.10.011
  20. Xiao, W., Edwin, F. F., Spaguolo, G., and Jatskevich, J., “Efficient approaches for modeling and simulating photovoltaic power systems,” IEEE J. Photovoltaics, Vol.. 3, No. 1, pp. 500-508, January 2013. https://doi.org/10.1109/JPHOTOV.2012.2226435
  21. Mohammed A. Elgendy, Bashar Zahawi, David J. Atkinson, “Assessment of Perturb and Observe MPPT Algorithm Implementation Techniques for PV Pumping Applications”, IEEE Transactions on Sustainable Energy, Vol. 3, No. 1, 2012.