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Smart centralized energy management system for autonomous microgrid using FPGA

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  • Elkholy, M.H.
  • Metwally, Hamid
  • Farahat, M.A.
  • Senjyu, Tomonobu
  • Elsayed Lotfy, Mohammed

Abstract

Smart energy management system (SEMS) has become an effective energy-saving tool. In this paper, an efficient energy management system is used for a hybrid system consists of PV, Fuel Cells (FCs), and wind energy systems. The hybrid system is accompanied by a battery energy storage system to act as a backup source in case that the loads exceed the power produced from the three sources. The SEMS is implemented on Altera Cyclone IV EP4CE6 field-programmable gate arrays (FPGA) board using QUARTUS II software and LABVIEW. FPGAs are highly flexible and reprogrammable logic devices. Analog to digital converter (ADC) is used to interface the current and voltage of the three sources with FPGA. As a result of the weather fluctuations, the voltage of the three sources is not stable. Therefore, the voltage of the three sources is adjusted using the Buck-Boost converter technology, which is set at 24 V until the merging process takes place. The results prove the high efficiency of the FPGA and its high response to the load changes.

Suggested Citation

  • Elkholy, M.H. & Metwally, Hamid & Farahat, M.A. & Senjyu, Tomonobu & Elsayed Lotfy, Mohammed, 2022. "Smart centralized energy management system for autonomous microgrid using FPGA," Applied Energy, Elsevier, vol. 317(C).
    • Handle: RePEc:eee:appene:v:317:y:2022:i:c:s0306261922005360
    DOI: 10.1016/j.apenergy.2022.119164
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    Cited by:

    1. Pabel Alberto Cárdenas & Maximiliano Martínez & Marcelo Gustavo Molina & Pedro Enrique Mercado, 2023. "Development of Control Techniques for AC Microgrids: A Critical Assessment," Sustainability, MDPI, vol. 15(21), pages 1-28, October.
    2. Elkholy, M.H. & Senjyu, Tomonobu & Elymany, Mahmoud & Gamil, Mahmoud M. & Talaat, M. & Masrur, Hasan & Ueda, Soichiro & Lotfy, Mohammed Elsayed, 2024. "Optimal resilient operation and sustainable power management within an autonomous residential microgrid using African vultures optimization algorithm," Renewable Energy, Elsevier, vol. 224(C).
    3. Issoufou Tahirou Halidou & Harun Or Rashid Howlader & Mahmoud M. Gamil & M. H. Elkholy & Tomonobu Senjyu, 2023. "Optimal Power Scheduling and Techno-Economic Analysis of a Residential Microgrid for a Remotely Located Area: A Case Study for the Sahara Desert of Niger," Energies, MDPI, vol. 16(8), pages 1-23, April.
    4. Silva, Jéssica Alice A. & López, Juan Camilo & Guzman, Cindy Paola & Arias, Nataly Bañol & Rider, Marcos J. & da Silva, Luiz C.P., 2023. "An IoT-based energy management system for AC microgrids with grid and security constraints," Applied Energy, Elsevier, vol. 337(C).

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