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<p>This paper aims to research a photovoltaic solar water pumping system (PVWPS) based on a three-phase induction motor (IM) connected with a centrifuge pump. This work presents a comprehensive comparative analysis of a standalone PVWPS based on both experimental validation and numerical modelling. A model was generated in MATLAB/Simulink containing the same specifications as a real installation and validated against experimental data. The comparison between experimental and simulated data was very close, with maximum differences of less than 3%, thus confirming that the proposed model is accurate and reliable. In addition, the performance of maximum power point tracking methods using a conventional Perturb and Observe (P&amp;O) compared to an intelligent optimisation method based on Harris Hawks Optimisation (HHO) was evaluated under four different seasons. As a result of using an HHO-based MPPT approach, it was found that improvements in tracking efficiencies by as much as 4.26%, reductions in oscillations of approximately 80%, and reductions in average response times of greater than 65% were achieved when compared to a P&amp;O methodology for tracking maximum power. As demonstrated by these findings, the HHO approach provides a better P&amp;O tracking methodology and represents the effectiveness of intelligent optimisation techniques for increasing photovoltaic water pumping systems.</p>

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Metaheuristic optimization of photovoltaic water pumping system using the scalar control of an induction motor drive

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年7月25日

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  • Wejden Lityem,
  • Mohamed Naoui,
  • Lassaad Sbita,
  • Farid Mnif

摘要

This paper aims to research a photovoltaic solar water pumping system (PVWPS) based on a three-phase induction motor (IM) connected with a centrifuge pump. This work presents a comprehensive comparative analysis of a standalone PVWPS based on both experimental validation and numerical modelling. A model was generated in MATLAB/Simulink containing the same specifications as a real installation and validated against experimental data. The comparison between experimental and simulated data was very close, with maximum differences of less than 3%, thus confirming that the proposed model is accurate and reliable. In addition, the performance of maximum power point tracking methods using a conventional Perturb and Observe (P&O) compared to an intelligent optimisation method based on Harris Hawks Optimisation (HHO) was evaluated under four different seasons. As a result of using an HHO-based MPPT approach, it was found that improvements in tracking efficiencies by as much as 4.26%, reductions in oscillations of approximately 80%, and reductions in average response times of greater than 65% were achieved when compared to a P&O methodology for tracking maximum power. As demonstrated by these findings, the HHO approach provides a better P&O tracking methodology and represents the effectiveness of intelligent optimisation techniques for increasing photovoltaic water pumping systems.