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Incentive-Driven Energy Trading in the Smart Grid
University of Electronic Science and Technology of China, Chengdu, China.
University of Electronic Science and Technology of China, Chengdu, China.
University of Electronic Science and Technology of China, Chengdu, China.
Simula Research Laboratory, Oslo, Norway.
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2016 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 4, 1243-1257 p., 7436757Article in journal (Refereed) Published
Abstract [en]

The smart grid is widely considered as an efficient and intelligent power system. With the aid of communication technologies, the smart grid can enhance the efficiency and reliability of the grid system through intelligent energy management. However, with the development of new energy sources, storage and transmission technologies together with the heterogeneous architecture of the grid network, several new features have been incorporated into the smart grid. These features make the energy trading more complex and pose a significant challenge on designing efficient trading schemes. Based on this motivation, in this paper, we present a comprehensive review of several typical economic incentive approaches adopted in the energy-trading control mechanisms. We focus on the technologies that address the challenges specific to the new features of the smart grid. Furthermore, we investigate the energy trading in a new cloud-based vehicle-to-vehicle energy exchange scenario. We propose an optimal contract-based electricity trading scheme, which efficiently increases the generated profit. © 2013 IEEE.

Place, publisher, year, edition, pages
Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2016. Vol. 4, 1243-1257 p., 7436757
Keyword [en]
energy trading, economic incentive, smart grid
National Category
Communication Systems Telecommunications
Identifiers
URN: urn:nbn:se:hh:diva-32114DOI: 10.1109/ACCESS.2016.2543841ISI: 000375577100001Scopus ID: 2-s2.0-84979849266OAI: oai:DiVA.org:hh-32114DiVA: diva2:1010108
Note

This work was supported in part by the National Natural Science Foundation of China under Grant 61374189, in part by the Information Technology Research Projects within the Ministry of Transport of China under Grant 2014 364X14 040, and in part by the Research Council of Norway under Project 240079/F20.

Available from: 2016-10-01 Created: 2016-10-01 Last updated: 2016-10-03Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf