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Design and Analysis of Sliding-Mode Artificial Neural Network Control Strategy for Hybrid PV-Battery-Supercapacitor System

Author

Listed:
  • Mohamed Ali Zdiri

    (Control & Energy Management Laboratory, Sfax Engineering School, University of Sfax, Sfax 3038, Tunisia)

  • Tawfik Guesmi

    (Department of Electrical Engineering, College of Engineering, University of Ha’il, Ha’il 2240, Saudi Arabia)

  • Badr M. Alshammari

    (Department of Electrical Engineering, College of Engineering, University of Ha’il, Ha’il 2240, Saudi Arabia)

  • Khalid Alqunun

    (Department of Electrical Engineering, College of Engineering, University of Ha’il, Ha’il 2240, Saudi Arabia)

  • Abdulaziz Almalaq

    (Department of Electrical Engineering, College of Engineering, University of Ha’il, Ha’il 2240, Saudi Arabia)

  • Fatma Ben Salem

    (Control & Energy Management Laboratory, Sfax Engineering School, University of Sfax, Sfax 3038, Tunisia)

  • Hsan Hadj Abdallah

    (Control & Energy Management Laboratory, Sfax Engineering School, University of Sfax, Sfax 3038, Tunisia)

  • Ahmed Toumi

    (Department of Electrical Engineering, College of Engineering, University of Ha’il, Ha’il 2240, Saudi Arabia)

Abstract

Nowadays, the growing integration of renewable energy sources poses several challenges to electrical energy systems. The latter need be controlled by grid rules to ensure their stability and maintain the efficiency of renewable energy consumption. In this context, a novel HESS (hybrid energy storage system) control strategy, combining the PV (photovoltaic) generator with FLC (fuzzy logic control), SC (super-capacitor), and lithium-ion battery modules, is advanced. The proposed energy control rests on monitoring of the low-frequency and high-frequency electrical power components of the mismatch between power demand and generation, while applying the error component of the lithium-ion battery current. On accounting for the climatic condition and load variation considerations, the SC undertakes to momentarily absorb the high-frequency power component, while the low-frequency component is diverted to the lithium-ion battery. To improve the storage system’s performance, lifetime, and avoid load total disconnection during sudden variations, we consider equipping the envisioned energy control design with controllers of SM and ANN types. The MATLAB/Simulink based simulation results turn out to testify well the investigated HESS control scheme’s outstanding performance and efficiency in terms of DC bus voltage rapid regulation, thereby enhancing the battery’s lifetime and ensuring the PV system’s continuous flow.

Suggested Citation

  • Mohamed Ali Zdiri & Tawfik Guesmi & Badr M. Alshammari & Khalid Alqunun & Abdulaziz Almalaq & Fatma Ben Salem & Hsan Hadj Abdallah & Ahmed Toumi, 2022. "Design and Analysis of Sliding-Mode Artificial Neural Network Control Strategy for Hybrid PV-Battery-Supercapacitor System," Energies, MDPI, vol. 15(11), pages 1-20, June.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:11:p:4099-:d:830737
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    References listed on IDEAS

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    Cited by:

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    2. Enas Taha Sayed & Abdul Ghani Olabi & Abdul Hai Alami & Ali Radwan & Ayman Mdallal & Ahmed Rezk & Mohammad Ali Abdelkareem, 2023. "Renewable Energy and Energy Storage Systems," Energies, MDPI, vol. 16(3), pages 1-26, February.
    3. Luiz Henrique Meneghetti & Edivan Laercio Carvalho & Emerson Giovani Carati & Gustavo Weber Denardin & Jean Patric da Costa & Carlos Marcelo de Oliveira Stein & Rafael Cardoso, 2022. "Hybrid Inverter and Control Strategy for Enabling the PV Generation Dispatch Using Extra-Low-Voltage Batteries," Energies, MDPI, vol. 15(20), pages 1-20, October.
    4. Takele Ferede Agajie & Armand Fopah-Lele & Ahmed Ali & Isaac Amoussou & Baseem Khan & Mahmoud Elsisi & Wirnkar Basil Nsanyuy & Om Prakash Mahela & Roberto Marcelo Álvarez & Emmanuel Tanyi, 2023. "Integration of Superconducting Magnetic Energy Storage for Fast-Response Storage in a Hybrid Solar PV-Biogas with Pumped-Hydro Energy Storage Power Plant," Sustainability, MDPI, vol. 15(13), pages 1-30, July.

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