Dr MINGLEI YOU MINGLEI.YOU@NOTTINGHAM.AC.UK
Assistant Professor
New communication strategy for spectrum sharing enabled smart grid cyber‐physical system
You, Minglei; Liu, Qitao; Sun, Hongjian
Authors
Qitao Liu
Hongjian Sun
Abstract
Smart grid cyber-physical system (CPS) exploits various physical components to provide better knowledge and delicate control of the power grid, while the huge data volume is transmitted via the integration of advanced communication technologies. To provide better services for the applications in the smart grid CPS, the communication network has to consider the aspects of both improving the system throughput and meeting the real-time requirement. In order to address this issue, a new communication strategy is proposed in this study. The strategy is based on the time performance features of different smart grid CPS applications, which also exploits both temporal and spatial available spectrum resources for transmitting via spectrum sharing techniques. Moreover, the performance has been verified by a case study based on IEEE 14-bus power system. An important real-time application, namely real-time voltage stability enhancement, has been investigated in the case study. Results show that the proposed communication strategy is able to improve the throughput of the smart grid CPS and the time performance of time sensitive applications.
Citation
You, M., Liu, Q., & Sun, H. (2017). New communication strategy for spectrum sharing enabled smart grid cyber‐physical system. IET Cyber-Physical Systems: Theory & Applications, 2(3), 136-142. https://doi.org/10.1049/iet-cps.2017.0051
Journal Article Type | Article |
---|---|
Acceptance Date | Jul 7, 2021 |
Online Publication Date | Aug 18, 2017 |
Publication Date | 2017-10 |
Deposit Date | Oct 28, 2021 |
Publicly Available Date | Nov 11, 2021 |
Journal | IET Cyber-Physical Systems: Theory & Applications |
Print ISSN | 2398-3396 |
Electronic ISSN | 2398-3396 |
Publisher | Wiley Open Access |
Peer Reviewed | Peer Reviewed |
Volume | 2 |
Issue | 3 |
Pages | 136-142 |
DOI | https://doi.org/10.1049/iet-cps.2017.0051 |
Keywords | Artificial Intelligence; Electrical and Electronic Engineering; Computer Networks and Communications; Computer Science Applications; Information Systems |
Public URL | https://nottingham-repository.worktribe.com/output/6537554 |
Publisher URL | https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/iet-cps.2017.0051 |
Files
Iet-cps.2017.0051
(1.8 Mb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by/3.0/
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