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Design of a Novel Chaotic Horse Herd Optimizer and Application to MPPT for Optimal Performance of Stand-Alone Solar PV Water Pumping Systems

Author

Listed:
  • Rabeh Abbassi

    (Department of Electrical Engineering, College of Engineering, University of Ha’il, Ha’il City 81451, Saudi Arabia
    LaTICE Laboratory, Higher National Engineering School of Tunis (ENSIT), University of Tunis, 5 Avenue Taha Hussein, P.O. Box 56, Tunis 1008, Tunisia
    Institute of Applied Sciences and Technology of Kasserine (ISSATKas), University of Kairouan, P.O. Box 471, Kasserine 1200, Tunisia)

  • Salem Saidi

    (LaTICE Laboratory, Higher National Engineering School of Tunis (ENSIT), University of Tunis, 5 Avenue Taha Hussein, P.O. Box 56, Tunis 1008, Tunisia
    National School of Advanced Sciences and Technologies of Borj Cedria (ENSTAB), University of Carthage, P.O. Box 122, Hammam-Chott 1164, Tunisia)

Abstract

A significant part of agricultural farms in the Kingdom of Saudi Arabia (KSA) are in off-grid sites where there is a lack of sufficient water supply despite its availability from groundwater resources in several regions of the country. Since abundant agricultural production is mainly dependent on water, farmers are forced to pump water using diesel generators. This investigation deals with the increase in the effectiveness of a solar photovoltaic water pumping system (SPVWPS). It investigated, from a distinct perspective, the nonlinear behavior of photovoltaic modules that affects the induction motor-pump because of the repeated transitions between the current and the voltage. A new chaotic Horse Herd Optimization (CHHO)-based Maximum Power Point Tracking technique (MPPT) is proposed. This algorithm integrates the capabilities of chaotic search methods to solve the model with a boost converter to maximize power harvest while managing the nonlinear and unpredictable dynamical loads. The analytical modeling for the proposed SPVWPS components and the implemented control strategies of the optimal duty cycle of the DC–DC chopper duty cycle and the Direct Torque Control (DTC) of the Induction Motor (IM) has been conducted. Otherwise, the discussions and evaluations of the proposed model performance in guaranteeing the maximum water flow rate and the operation at MPP of the SPVWPS under partial shading conditions (PSC) and changing weather conditions have been carried out. A comparative study with competitive algorithms was conducted, and the proposed control system’s accuracy and its significant appropriateness to improve the tracking ability for SPVWPS application have been proven in steady and dynamic operating climates and PSC conditions.

Suggested Citation

  • Rabeh Abbassi & Salem Saidi, 2024. "Design of a Novel Chaotic Horse Herd Optimizer and Application to MPPT for Optimal Performance of Stand-Alone Solar PV Water Pumping Systems," Mathematics, MDPI, vol. 12(4), pages 1-26, February.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:4:p:594-:d:1340334
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    References listed on IDEAS

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    1. Refaat, Ahmed & Ali, Qays Adnan & Elsakka, Mohamed Mohamed & Elhenawy, Yasser & Majozi, Thokozani & Korovkin, Nikolay V. & Elfar, Medhat Hegazy, 2024. "Extraction of maximum power from PV system based on horse herd optimization MPPT technique under various weather conditions," Renewable Energy, Elsevier, vol. 220(C).
    2. Rakeshkumar Mahto & Deepak Sharma & Reshma John & Chandrasekhar Putcha, 2021. "Agrivoltaics: A Climate-Smart Agriculture Approach for Indian Farmers," Land, MDPI, vol. 10(11), pages 1-28, November.
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    Cited by:

    1. Ali Karami-Mollaee & Oscar Barambones, 2025. "Maximum Power Extraction of Photovoltaic Systems Using Dynamic Sliding Mode Control and Sliding Observer," Mathematics, MDPI, vol. 13(14), pages 1-19, July.

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