Minglei You
Effective capacity analysis of smart grid communication networks
You, Minglei; Mou, Xiaolin; Sun, Hongjian
Abstract
Smart grid represents a significant new technology of improving the efficiency, reliability and economics of the production, transmission and distribution of electricity that helps reduce carbon emissions. Communication networks become a key to achieving smart grid benefits due to their capability of delivering data and control signals. However, there does not exist a unified approach to quantify how well a communication network supports smart grid applications. In this paper, effective capacity is exploited as a good candidate to quantitatively measure how well the communication network supports smart grid applications, regardless of specific network technologies. Case studies using the effective capacity are given and analyzed by simulations in different smart grid application scenarios.
Citation
You, M., Mou, X., & Sun, H. (2015, September). Effective capacity analysis of smart grid communication networks. Presented at 20th IEEE International Workshop on Computer Aided Modelling and Design of Communication Links and Networks, Guildford, UK
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | 20th IEEE International Workshop on Computer Aided Modelling and Design of Communication Links and Networks |
Start Date | Sep 7, 2015 |
End Date | Sep 9, 2015 |
Acceptance Date | Aug 14, 2015 |
Publication Date | Sep 8, 2015 |
Deposit Date | Oct 8, 2015 |
Publicly Available Date | Oct 28, 2015 |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 196-200 |
Book Title | 2015 IEEE 20th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD). |
DOI | https://doi.org/10.1109/camad.2015.7390508 |
Public URL | https://durham-repository.worktribe.com/output/1152455 |
Additional Information | Conference date: 7-9 September 2015. |
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Copyright Statement
© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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