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

Quy Nguyen Minh, Nguyen Van-Hau, Vu Khanh Quy (), Le Anh Ngoc, Abdellah Chehri and Gwanggil Jeon ()
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Quy Nguyen Minh: Department of Information Technology, Hung Yen University of Technology and Education, Hung Yen 160000, Vietnam
Nguyen Van-Hau: 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

Energies, 2022, vol. 15, issue 17, 1-16

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.

Keywords: smart grid; energy efficient; Internet of Things; edge computing (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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