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Integrated Control Design for Hybrid Grid-Photovoltaic Systems in Distillation Applications: A Reference Model and Fuzzy Logic Approach

Author

Listed:
  • Hassan Abouobaida

    (Laboratory of Engineering Sciences for Energy (LABSIPE), National School of Applied Sciences (ENSA) of El Jadida, Chouaib-Doukkali University, El Jadida B.P. 299-24000, Morocco)

  • Youssef Mchaouar

    (Laboratory of Engineering Sciences for Energy (LABSIPE), National School of Applied Sciences (ENSA) of El Jadida, Chouaib-Doukkali University, El Jadida B.P. 299-24000, Morocco)

  • Safeer Ullah

    (Department of Electrical Engineering, Quaid-e-Azam College of Engineering and Technology, Sahiwal 57000, Pakistan)

  • Younes Abouelmahjoub

    (Laboratory of Engineering Sciences for Energy (LABSIPE), National School of Applied Sciences (ENSA) of El Jadida, Chouaib-Doukkali University, El Jadida B.P. 299-24000, Morocco)

  • Hisham Alghamdi

    (Department of Electrical Engineering, College of Engineering, Najran University, Najran 66462, Saudi Arabia)

  • Baheej Alghamdi

    (Smart Grids Research Group, Center of Research Excellence in Renewable Energy and Power Systems, King Abdulaziz University, Jeddah 21589, Saudi Arabia
    Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

  • Habib Kraiem

    (Department of Electrical Engineering, College of Engineering, Northern Border University, Arar 73213, Saudi Arabia)

Abstract

This paper presents a novel hybrid structural control solution designed for distillation systems that utilize a solar source alongside an electrical grid. The power conversion architecture incorporates a reversible bridge rectifier and a quadratic boost converter. The hybrid photovoltaic grid configuration offers several benefits, including source complementarity, enhanced dependability, and energy availability aligned with power requirements. Leveraging a photovoltaic source operating at maximum power facilitates energy conservation. On the control front, an adaptive technique based on a reference model is proposed. Fuzzy logic governs the quadratic boost converter, simplifying the management of its complex nonlinear nature. The control strategy aims to maximize solar power utilization, minimize harmonic components in the grid current, synthesize an adaptive controller, and achieve a near-unit power factor on the grid. The simulation results for a steady distillation system demonstrate promising findings. Despite variations in irradiation, load power, and grid drops, the system maintains a minimal bus voltage ripple, remaining close to the intended value. Optimization of the panel-generated power leads to improved PV source utilization and enhanced system efficiency. Furthermore, the combination with an electrical grid achieves a low rate of grid current distortion and a unitary power factor.

Suggested Citation

  • Hassan Abouobaida & Youssef Mchaouar & Safeer Ullah & Younes Abouelmahjoub & Hisham Alghamdi & Baheej Alghamdi & Habib Kraiem, 2024. "Integrated Control Design for Hybrid Grid-Photovoltaic Systems in Distillation Applications: A Reference Model and Fuzzy Logic Approach," Sustainability, MDPI, vol. 16(17), pages 1-20, August.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:17:p:7304-:d:1463681
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    References listed on IDEAS

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    1. Miladi, Rihab & Frikha, Nader & Gabsi, Slimane, 2021. "Modeling and energy analysis of a solar thermal vacuum membrane distillation coupled with a liquid ring vacuum pump," Renewable Energy, Elsevier, vol. 164(C), pages 1395-1407.
    2. Gil, Juan D. & Roca, Lidia & Zaragoza, Guillermo & Berenguel, Manuel, 2018. "A feedback control system with reference governor for a solar membrane distillation pilot facility," Renewable Energy, Elsevier, vol. 120(C), pages 536-549.
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    Cited by:

    1. El Kassar, Razan & Al Takash, Ahmad & El Rassy, Elissa & Hammoud, Mohammad & Py, Xavier, 2026. "Evaluating the sustainability of pv technologies and their cooling systems: a life cycle assessment review," Applied Energy, Elsevier, vol. 404(C).

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