Effective capacity analysis of smart grid communication networks

You, Minglei; Mou, Xiaolin; Sun, Hongjian

doi:10.1109/camad.2015.7390508

Effective capacity analysis of smart grid communication networks

You, Minglei; Mou, Xiaolin; Sun, Hongjian

Authors

Minglei You

Xiaolin Mou

Professor Hongjian Sun hongjian.sun@durham.ac.uk
Professor

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). Effective capacity analysis of smart grid communication networks. In 2015 IEEE 20th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD) (196-200). https://doi.org/10.1109/camad.2015.7390508

Conference Name	20th IEEE International Workshop on Computer Aided Modelling and Design of Communication Links and Networks
Conference Location	Guildford, UK
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
Additional Information	Conference date: 7-9 September 2015.

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