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Numerical Performance Evaluation of Solar Photovoltaic Water Pumping System under Partial Shading Condition using Modern Optimization

Author

Listed:
  • Jouda Arfaoui

    (National School of Engineering of Tunis, University of Tunis El Manar, BP 37, Tunis 1002, Tunisia)

  • Hegazy Rezk

    (College of Engineering at Wadi Addawaser, Prince Sattam Bin Wadi Addawaser Abdulaziz University, Addawaser 11991, Saudi Arabia
    Electrical Engineering Department, Faculty of Engineering, Minia University, Al Minya 61519, Egypt)

  • Mujahed Al-Dhaifallah

    (Systems Engineering Department, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia)

  • Feki Elyes

    (Department of Physics, Faculty of Sciences, University of Tunis El Manar, BP 37, Tunis 1002, Tunisia)

  • Mami Abdelkader

    (Department of Physics, Faculty of Sciences, University of Tunis El Manar, BP 37, Tunis 1002, Tunisia)

Abstract

Renewable energy is an attractive solution for water pumping systems particularly in isolated regions where the utility grid is unavailable. An attempt is made to improve the performance of solar photovoltaic water pumping system (SPVWPS) under partial shading condition. Under this condition, the power versus voltage curve has more than one maximum power point (MPP), which makes the tracking of global MPP not an easy task. Two MPP tracking (MPPT) strategies are proposed and compared for tracking MPP of SPVWPS under shading condition. The first method is based on the classical perturb and observe (P&O) and the other method is based on a Salp Swarm Algorithm (SSA). Based on extensive MATLAB simulation, it is found that the SSA method can provide higher photovoltaic (PV) generated power than the P&O method under shading condition. Consequently, the pump flowrate is increased. But, under normal distribution of solar radiation, both MPPT techniques can extract the maximum power but SSA is considered a time-consuming approach. Moreover, SSA is compared with particle swarm optimization (PSO) and genetic algorithm (GA). The obtained results ensure the superiority of SSA compared with PSO and GA. SSA has high successful rate of reaching true global MPP.

Suggested Citation

  • Jouda Arfaoui & Hegazy Rezk & Mujahed Al-Dhaifallah & Feki Elyes & Mami Abdelkader, 2019. "Numerical Performance Evaluation of Solar Photovoltaic Water Pumping System under Partial Shading Condition using Modern Optimization," Mathematics, MDPI, vol. 7(11), pages 1-18, November.
    • Handle: RePEc:gam:jmathe:v:7:y:2019:i:11:p:1123-:d:287842
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    References listed on IDEAS

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