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Edge Computing for IoT-Enabled Smart Grid: The Future of Energy

Author

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  • Quy Nguyen Minh

    (Department of Information Technology, Hung Yen University of Technology and Education, Hung Yen 160000, Vietnam)

  • Van-Hau Nguyen

    (Department of Information Technology, Hung Yen University of Technology and Education, Hung Yen 160000, Vietnam)

  • Vu Khanh Quy

    (Department of Information Technology, Hung Yen University of Technology and Education, Hung Yen 160000, Vietnam)

  • Le Anh Ngoc

    (Department of Swinburne Vietnam, FPT University, Hanoi 100000, Vietnam)

  • Abdellah Chehri

    (Department of Applied Sciences, University of Quebec, Chicoutimi, QC G7H 2B1, Canada)

  • Gwanggil Jeon

    (Department of Embedded Systems Engineering, Incheon National University, Incheon 22012, Korea)

Abstract

The explosive development of electrical engineering in the early 19th century marked the birth of the 2nd industrial revolution, with the use of electrical energy in place of steam power, as well as changing the history of human development. The versatility of electricity allows people to apply it to a multitude of fields such as transportation, heat applications, lighting, telecommunications, and computers. Nowadays, with the breakout development of science and technology, electric energy sources are formed by many different technologies such as hydroelectricity, solar power, wind power, coal power, etc. These energy sources are connected to form grid systems to transmit electricity to cities, businesses and homes for life and work. Electrical energy today has become the backbone of all modern technologies. To ensure the safe, reliable and energy-efficient operation of the grid, a wide range of grid management applications have been proposed. However, a significant challenge for monitoring and controlling grids is service response time. In recent times, to solve this problem, smart grid management applications based on IoT and edge computing have been proposed. In this work, we perform a comprehensive survey of edge computing for IoT-enabled smart grid systems. In addition, recent smart grid frameworks based on IoT and edge computing are discussed, important requirements are presented, and the open issues and challenges are indicated. We believe that in the Internet of Things era, the smart grid will be the future of energy. We hope that these study results will contribute important guidelines for in-depth research in the field of smart grids and green energy in the future.

Suggested Citation

  • Quy Nguyen Minh & Van-Hau Nguyen & Vu Khanh Quy & Le Anh Ngoc & Abdellah Chehri & Gwanggil Jeon, 2022. "Edge Computing for IoT-Enabled Smart Grid: The Future of Energy," Energies, MDPI, vol. 15(17), pages 1-16, August.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:17:p:6140-:d:896212
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    References listed on IDEAS

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    1. Dušan B. Gajić & Veljko B. Petrović & Nebojša Horvat & Dinu Dragan & Aleksandar Stanisavljević & Vladimir Katić & Jelena Popović, 2022. "A Distributed Ledger-Based Automated Marketplace for the Decentralized Trading of Renewable Energy in Smart Grids," Energies, MDPI, vol. 15(6), pages 1-26, March.
    2. Evangelos K. Markakis & Yannis Nikoloudakis & Kalliopi Lapidaki & Konstantinos Fiorentzis & Emmanuel Karapidakis, 2021. "Unification of Edge Energy Grids for Empowering Small Energy Producers," Sustainability, MDPI, vol. 13(15), pages 1-9, July.
    3. Haider, Rabab & Annaswamy, Anuradha M., 2022. "A hybrid architecture for volt-var control in active distribution grids," Applied Energy, Elsevier, vol. 312(C).
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    Cited by:

    1. Ali Riza Ekti & Aaron Wilson & Joseph Olatt & John Holliman & Serhan Yarkan & Peter Fuhr, 2022. "A Simple and Accurate Energy-Detector-Based Transient Waveform Detection for Smart Grids: Real-World Field Data Performance," Energies, MDPI, vol. 15(22), pages 1-12, November.
    2. Chankook Park & Wan Gyu Heo & Myung Eun Lee, 2024. "Study on Consumers’ Perceived Benefits and Risks of Smart Energy System," International Journal of Energy Economics and Policy, Econjournals, vol. 14(3), pages 288-300, May.
    3. Shiva Amini & Salah Bahramara & Hêmin Golpîra & Bruno Francois & João Soares, 2022. "Techno-Economic Analysis of Renewable-Energy-Based Micro-Grids Considering Incentive Policies," Energies, MDPI, vol. 15(21), pages 1-19, November.
    4. Mohammad Abdul Baseer & Ibrahim Alsaduni, 2023. "A Novel Renewable Smart Grid Model to Sustain Solar Power Generation," Energies, MDPI, vol. 16(12), pages 1-17, June.
    5. Marta Biegańska, 2022. "IoT-Based Decentralized Energy Systems," Energies, MDPI, vol. 15(21), pages 1-20, October.

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