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Optimization of a Solar Water Pumping System in Varying Weather Conditions by a New Hybrid Method Based on Fuzzy Logic and Incremental Conductance

Author

Listed:
  • Abdelilah Hilali

    (Electronics, Communication Systems and Energy Optimization Team, Faculty of Sciences, Moulay Ismail University, Meknes 11201, Morocco)

  • Najib El Ouanjli

    (Laboratory of Mechanical, Computer, Electronics and Telecommunications, Faculty of Sciences and Technology, Hassan First University, Settat 26000, Morocco)

  • Said Mahfoud

    (Industrial Technologies and Services Laboratory, Higher School of Technology, Sidi Mohamed Ben Abdellah University, Fez 30000, Morocco)

  • Ameena Saad Al-Sumaiti

    (Advanced Power and Energy Center, Department of Electrical and Computer Engineering, Khalifa University, Abu Dhabi 127788, United Arab Emirates)

  • Mahmoud A. Mossa

    (Electrical Engineering Department, Faculty of Engineering, Minia University, Minia 61111, Egypt)

Abstract

The present work consists of developing a new hybrid FL-INC optimization algorithm for the solar water pumping system (SWPS) through a SEPIC converter whose objective is to improve these performances. This technique is based on the combination of the fuzzy logic of artificial intelligence and the incremental conductance (INC) technique. Indeed, the introduction of fuzzy logic to the INC algorithm allows the extraction of a maximum amount of power and an improvement in the efficiency of the SWPS. The performance of the system through the SEPIC converter is compared with those of the direct coupling to show the interest of the indirect coupling, which requires an adaptation stage driven by an optimal control algorithm. In addition, a comparative analysis between the proposed hybrid algorithm and the conventional optimization techniques, namely, P&O and INC Modified (M-INC), was carried out to confirm improvements related to the SWPS in terms of efficiency, tracking speed, power quality, tracking of the maximum power point under different weather changes, and pumped water flow.

Suggested Citation

  • Abdelilah Hilali & Najib El Ouanjli & Said Mahfoud & Ameena Saad Al-Sumaiti & Mahmoud A. Mossa, 2022. "Optimization of a Solar Water Pumping System in Varying Weather Conditions by a New Hybrid Method Based on Fuzzy Logic and Incremental Conductance," Energies, MDPI, vol. 15(22), pages 1-21, November.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:22:p:8518-:d:972650
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    References listed on IDEAS

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    1. Ameena Saad Al-Sumaiti & Abdollah Kavousi-Fard & Magdy Salama & Motahareh Pourbehzadi & Srikanth Reddy & Muhammad Babar Rasheed, 2020. "Economic Assessment of Distributed Generation Technologies: A Feasibility Study and Comparison with the Literature," Energies, MDPI, vol. 13(11), pages 1-28, June.
    2. Mahmoud A. Mossa & Olfa Gam & Nicola Bianchi, 2022. "Dynamic Performance Enhancement of a Renewable Energy System for Grid Connection and Stand-Alone Operation with Battery Storage," Energies, MDPI, vol. 15(3), pages 1-42, January.
    3. Fatigati, Fabio & Di Battista, Davide & Cipollone, Roberto, 2021. "Design improvement of volumetric pump for engine cooling in the transportation sector," Energy, Elsevier, vol. 231(C).
    4. Wang, Chuan & Shi, Weidong & Wang, Xikun & Jiang, Xiaoping & Yang, Yang & Li, Wei & Zhou, Ling, 2017. "Optimal design of multistage centrifugal pump based on the combined energy loss model and computational fluid dynamics," Applied Energy, Elsevier, vol. 187(C), pages 10-26.
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