Research Article
Open access
Published on 19 March 2024
Download pdf
Xu,J. (2024). The application of the internet of things technology in the smart grid. Applied and Computational Engineering,48,186-191.
Export citation

The application of the internet of things technology in the smart grid

Jinghui Xu *,1,
  • 1 Shanghai Jiao Tong University

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/48/20241366

Abstract

The development of electric power and the energy industry is an important guarantee for national economic development. With the explosion of population and the development of science and technology, the power system needs to be more intelligent and networked to facilitate management and optimization. In recent years, the Internet of Things (IoT) technology has continued to develop through the combination of Internet technology and sensor technology, and the fast network transmission speed as well as the miniaturization and refinement of sensing can help the construction of the smart grid. This paper analyzes the application of IoT technology in the smart grid, including different types of smart grid architecture and the practical application of the IoT technology in the whole process of power transmission. Besides, the paper also discusses different application links and network levels. At present, the IoT technology has been applied to the smart grid information collection, transmission, and processing process, participating in information management in the power station, power transmission, substation, and other links. However, due to the complexity of processing the massive data of the power grid and the multiple network connections during the transmission process, ensuring the security of information and networks has become a challenge. While realizing high-speed communication, it is necessary to ensure the security of users as well as the information communication and networks.

Keywords

IoT, Smart grid, Wireless sensor network, Power management

[1]. Koohang, A., Sargent, C.S., Nord, J.H. and Paliszkiewicz, J. (2022). IoT (IoT): From awareness to continued use. Int. J. Inf. Manag., 62, 102442.

[2]. Motlagh, N.H., Mohammadrezaei, M., Hunt, J.D., and Zakeri, B. (2020). IoT (IoT) and the Energy Sector. Energies, 13, 494.

[3]. Dileep, G. (2020). A survey on smart grid technologies and applications. Renewable Energy, 146, 2589-2625.

[4]. Mollah, M.B., Zhao, J., Niyato, D.T., Lam, K., Zhang, X., Ghias, A.M., Koh, L.H., and Yang, L. (2019). Blockchain for Future Smart Grid: A Comprehensive Survey. IEEE IoT Journal, 8, 18-43.

[5]. Uslar, M., Rohjans, S., Neureiter, C., Andrén, F.P., Velasquez, J., Steinbrink, C., Efthymiou, V., Migliavacca, G., Horsmanheimo, S., Brunner, H., Strasser, T.I., and Strasser, T.I. (2019). Applying the Smart Grid Architecture Model for Designing and Validating System-of-Systems in the Power and Energy Domain: A European Perspective. Energies.

[6]. Kirmani, S., Mazid, A.A., Khan, I.A., and Abid, M. (2022). A Survey on IoT-Enabled Smart Grids: Technologies, Architectures, Applications, and Challenges. Sustainability.

[7]. [1] Qays, M.O., Ahmad, I., Abu‐Siada, A., Hossain, M.L., and Yasmin, F. (2023). Key communication technologies, applications, protocols and future guides for IoT-assisted smart grid systems: A review. Energy Reports.

[8]. Hossain, M.S., Rahman, M., Sarker, M.T., Haque, M.E., and Jahid, A. (2019). A smart IoT based system for monitoring and controlling the sub-station equipment. Internet Things, 7.

[9]. Coman, F.L., Malarski, K.M., Petersen, M., and Ruepp, S. (2019). Security Issues in IoT: Vulnerability Analysis of LoRaWAN, Sigfox and NB-IoT. 2019 Global IoT Summit (GIoTS), 1-6.

Cite this article

Xu,J. (2024). The application of the internet of things technology in the smart grid. Applied and Computational Engineering,48,186-191.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

Disclaimer/Publisher's Note

The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of EWA Publishing and/or the editor(s). EWA Publishing and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

About volume

Volume title: Proceedings of the 4th International Conference on Signal Processing and Machine Learning

Conference website: https://www.confspml.org/
ISBN:978-1-83558-336-4(Print) / 978-1-83558-338-8(Online)
Conference date: 15 January 2024
Editor:Marwan Omar
Series: Applied and Computational Engineering
Volume number: Vol.48
ISSN:2755-2721(Print) / 2755-273X(Online)

© 2024 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. Authors who publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See Open access policy for details).