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Optimal energy exchange schemes in smart grid networks: A contract theoretic approach
School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, China.
School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, China.
School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, China.
School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, China.
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2016 (English)In: 2016 IEEE/CIC International Conference on Communications in China (ICCC), Piscataway, NJ: IEEE, 2016, article id 7636834Conference paper, Published paper (Refereed)
Abstract [en]

Vehicle-to-Grid (V2G) is a promising paradigm to alleviate energy supply and demand imbalance of the grid. To further improve the power transmission efficiency, in this paper, we propose a cloudlet-based Vehicle-to-Vehicle (V2V) energy exchange framework. In the framework, the Energy Switch Center (ESC) serves as a trading broker, which purchases electricity from discharging vehicles and then resells it to the charging ones without energy transmission on the grid. The energy trading process is modeled in a contract theoretic approach. We derive the optimal feasible contracts which maximize the profit of the ESC. Furthermore, we systematically study the practical scenario where both the charging demand and renewable energy supplement are random variables, and propose a practical optimal contract-based electricity purchase scheme. Simulation results show that the proposed scheme can efficiently increase the profit of the ESC than the other mechanisms. © 2016 IEEE.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE, 2016. article id 7636834
National Category
Communication Systems Telecommunications
Identifiers
URN: urn:nbn:se:hh:diva-32282DOI: 10.1109/ICCChina.2016.7636834ISI: 000386661200080Scopus ID: 2-s2.0-84997764848ISBN: 978-1-5090-2143-7 (electronic)ISBN: 978-1-5090-2144-4 (print)OAI: oai:DiVA.org:hh-32282DiVA, id: diva2:1039658
Conference
IEEE/CIC International Conference on Communications in China, Chengdu, China, 27-29 July, 2016
Note

Funding: This work is supported by the National Natural Science Foundation of China under Grant No.61374189.

Available from: 2016-10-24 Created: 2016-10-24 Last updated: 2018-01-11Bibliographically approved

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Vinel, Alexey

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CiteExportLink to record
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Citation style
  • apa
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