Distributed Framework for Cognitive Radio Based Smart Grid and According Communication/Power Management Strategies

Tigang Jiang

Communications and Networking. 11th EAI international Conference, ChinaCom 2016 Chongqing, China, September 24-26, 2016, Proceedings, Part II

Research Article

Distributed Framework for Cognitive Radio Based Smart Grid and According Communication/Power Management Strategies

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@INPROCEEDINGS{10.1007/978-3-319-66628-0_31,
    author={Tigang Jiang},
    title={Distributed Framework for Cognitive Radio Based Smart Grid and According Communication/Power Management Strategies},
    proceedings={Communications and Networking. 11th EAI international Conference, ChinaCom 2016 Chongqing, China, September 24-26, 2016, Proceedings, Part II},
    proceedings_a={CHINACOM},
    year={2017},
    month={10},
    keywords={Smart grid Cognitive radio networks Distributed networks Power grid Resource allocation},
    doi={10.1007/978-3-319-66628-0_31}
}

Tigang Jiang
Year: 2017
Distributed Framework for Cognitive Radio Based Smart Grid and According Communication/Power Management Strategies
CHINACOM
Springer
DOI: 10.1007/978-3-319-66628-0_31

Tigang Jiang¹^,*

1: University of Electronic Science and Technology of China

*Contact email: jtg@uestc.edu.cn

Abstract

This paper analyses the smart grid’s facing challenges and the features of new energy source, then proposes the distributed frameworks for Cognitive Radio based Smart Grid (CRSG) on Home Area Network (HAN), on Neighbour Area Network (NAN), and on distributed power generators respectively. The basic protocols such as the communication protocols of cognitive radio networks, power transmission protocols among different users, and power transmission protocols between users and distributed power plants are presented. Those protocols are evaluated in the proposed distributed CRSG with network simulation platform, and the results show that distributed framework is economic and effective.

Keywords: Smart grid Cognitive radio networks Distributed networks Power grid Resource allocation

Published: 2017-10-12
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-319-66628-0_31