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Real-Time Fuzzy Logic Based Energy Management System for Microgrid Using Hardware in the Loop

Author

Listed:
  • Abdallah El Zerk

    (Engineering for Smart and Sustainable Systems Research Centre, Mohammadia School of Engineers, Mohammed V University in Rabat, Rabat 10090, Morocco)

  • Mohammed Ouassaid

    (Engineering for Smart and Sustainable Systems Research Centre, Mohammadia School of Engineers, Mohammed V University in Rabat, Rabat 10090, Morocco)

Abstract

This research presents a hierarchical energy management strategy for isolated microgrids (MG). The strategy’s objectives are achieved through a master-slave topology where local controllers are managed and controlled through a central controller. This can provide many technical advantages, particularly regarding the microgrid’s performance and the supply of energy. The local controller is designed to meet the local objectives of the microgrid, such as stabilization of DC voltage and maximization of sources’ extracted power. The objectives of the central controller are achieved through a centralized approach based on fuzzy logic to preserve battery life and manage the energy balance between generation and consumption. The microgrid’s performances were investigated under a steady-state and faulty regime. A Hardware in the Loop (HIL) test based on the Simulink platform is established by RT-LAB real-time simulator. Results are presented to validate the proposed hierarchical control. The OP1400 test bench, based on the OP4150 digital simulator, is utilized to test and validate the proposed hierarchical control strategy. The results are compared to international standards IEEE 1547 and IEC 61727, which demonstrate excellent consistency.

Suggested Citation

  • Abdallah El Zerk & Mohammed Ouassaid, 2023. "Real-Time Fuzzy Logic Based Energy Management System for Microgrid Using Hardware in the Loop," Energies, MDPI, vol. 16(5), pages 1-21, February.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:5:p:2244-:d:1080845
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    References listed on IDEAS

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    2. Kumar, Dipesh & Chatterjee, Kalyan, 2016. "A review of conventional and advanced MPPT algorithms for wind energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 957-970.
    3. Habib Kraiem & Aymen Flah & Naoui Mohamed & Mohamed H. B. Messaoud & Essam A. Al-Ammar & Ahmed Althobaiti & Abdullah Alhumaidi Alotaibi & Michał Jasiński & Vishnu Suresh & Zbigniew Leonowicz & Elżbiet, 2022. "Decreasing the Battery Recharge Time if Using a Fuzzy Based Power Management Loop for an Isolated Micro-Grid Farm," Sustainability, MDPI, vol. 14(5), pages 1-21, March.
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    Citations

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    Cited by:

    1. Eduardo Gómez-Luna & John E. Candelo-Becerra & Juan C. Vasquez, 2023. "A New Digital Twins-Based Overcurrent Protection Scheme for Distributed Energy Resources Integrated Distribution Networks," Energies, MDPI, vol. 16(14), pages 1-23, July.
    2. Wei Jiang & Renjie Qi & Song Xu & Seiji Hashimoto, 2024. "Real-Time Simulation System for Small Scale Regional Integrated Energy Systems," Energies, MDPI, vol. 17(13), pages 1-25, June.
    3. Nader M. A. Ibrahim & Hossam E. A. Talaat & Abdullah M. Shaheen & Bassam A. Hemade, 2023. "Optimization of Power System Stabilizers Using Proportional-Integral-Derivative Controller-Based Antlion Algorithm: Experimental Validation via Electronics Environment," Sustainability, MDPI, vol. 15(11), pages 1-31, June.
    4. Hossam M. Hussein & Ahmed Aghmadi & Mahmoud S. Abdelrahman & S M Sajjad Hossain Rafin & Osama Mohammed, 2024. "A review of battery state of charge estimation and management systems: Models and future prospective," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 13(1), January.
    5. Hussain A. Alhaiz & Ahmed S. Alsafran & Ali H. Almarhoon, 2023. "Single-Phase Microgrid Power Quality Enhancement Strategies: A Comprehensive Review," Energies, MDPI, vol. 16(14), pages 1-28, July.

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