A Development of System Control Strategy Applied to PV Pumping System

  • Sarah AdoulraziqEmail author
  • Med Amine Abdourraziq
Part of the Innovative Renewable Energy book series (INREE)


The use of solar energy to extract water in remote area is one of the promising applications of photovoltaic (PV) systems. The photovoltaic pumping systems consist of a photovoltaic panel, a DC–DC boost converter, and a DC motor pump set connected to a storage tank. In order to improve the performance of the system, it is very important to optimize the efficiency of the photovoltaic panel, by the use of maximum power point tracking technique. The aim of this paper is to present an improved slide mode control strategy to extract the maximum power point of the PV generator; this technique allows tracking the maximum power point consequently for different operating conditions of radiation and temperature. The proposed method is tested with MATLAB/SIMULINK environment, and compared with the classical Perturb and Observe (P&O) method. The results show that the proposed method improves the performance of the overall system.


PV pumping system MPPT Slide mode control P&O DC–DC boost converter 


  1. 1.
    Amrouche, B., & Guessoum, A. (2012). A simple behavioural model for solar module electric characteristics based on the first order system step response for MPPT study and comparison. Applied Energy, 91, 395–404.CrossRefGoogle Scholar
  2. 2.
    Kadri, R., & Andrei, H. (2012). Modeling of the photovoltaic cell circuit parameters for optimum connection model and real-time emulator with partial shadow conditions. Energy, 42, 57–67.CrossRefGoogle Scholar
  3. 3.
    Jiang, J.-A., & Wang, J.-C. (2012). Analysis of the junction temperature and thermal characteristics of photovoltaic modules under various operation conditions. Energy, 44(1), 292–301.CrossRefGoogle Scholar
  4. 4.
    Benlarbi, K., & Mokrani, L. (2004). A fuzzy global efficiency optimization of a photovoltaic water pumping system. Solar Energy, 77, 203–216.CrossRefGoogle Scholar
  5. 5.
    de Brito, M. A. G., & Galotto, L. (2013). Evaluation of the main MPPT techniques for photovoltaic applications. IEEE Transactions on Industrial Electronics, 60(3), 1156–1167.CrossRefGoogle Scholar
  6. 6.
    Aashoor, F. A. O. & Robinson, F. V. P.. A variable step size perturb and observe algorithm for photovoltaic maximum power point tracking. In 47th International IEEE Universities Power Engineering Conference (UPEC), 2012 (pp.1–6).Google Scholar
  7. 7.
    Xiao, W. & Dunford, W. G. (2004). A modified adaptive hill climbing MPPT method for photovoltaic power systems. In Proc. 35th Annu. IEEE Power Electron. Spec. Conf. (pp. 1957–1963).Google Scholar
  8. 8.
    Sarah, A., & Rachid, E. B. (2013). Modeling of a photovoltaic pumping system using centrifugal pump and DC motor. Mediterranean Green Energy Forum, 2, 1–6. mgf13s-002.Google Scholar
  9. 9.
    Abdourraziq, S., & El Bachtiri, R. (2014). A novel MPPT dual fuzzy logic applied to resistive load and pv pumping system. International Review of Automatic Control (IREACO), 7(4), 446–452.Google Scholar
  10. 10.
    Abdourraziq, S., & El Bachtir, R. (2015). A comparative study between dual fuzzy logic and sliding mode control MPPT techniques applied to pv pumping system. International Review of Automatic Control, 8(2), 100.CrossRefGoogle Scholar

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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.REEPER Group, EST, LESSI Lab FSDM, Sidi Mohammed Ben Abdellah UniversityFezMorocco

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