Prioritizing consumers in smart grid: Energy management using game theory

Wayes Tushar, Jian A. Zhang, David B. Smith, Sylvie Thiebaux, H. Vincent Poor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

This paper explores an idea of demand-supply balance for smart grids in which consumers are expected to play a significant role. The main objective is to motivate the consumer, by maximizing their benefit both as a seller and a buyer, to trade their surplus energy with the grid so as to balance the demand at the peak hour. To that end, a Stackelberg game is proposed to capture the interactions between the grid and consumers, and it is shown analytically that optimal energy trading parameters that maximize customers' utilities are obtained at the solution of the game. A novel distributed algorithm is proposed to reach the optimal solution of the game, and numerical examples are used to assess the properties and effectiveness of the proposed approach.

Original languageEnglish (US)
Title of host publication2013 IEEE International Conference on Communications, ICC 2013
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4239-4243
Number of pages5
ISBN (Print)9781467331227
DOIs
StatePublished - Jan 1 2013
Externally publishedYes
Event2013 IEEE International Conference on Communications, ICC 2013 - Budapest, Hungary
Duration: Jun 9 2013Jun 13 2013

Publication series

NameIEEE International Conference on Communications
ISSN (Print)1550-3607

Other

Other2013 IEEE International Conference on Communications, ICC 2013
CountryHungary
CityBudapest
Period6/9/136/13/13

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Keywords

  • Smart grid
  • Stackelberg game
  • consumer's benefit
  • demand management
  • two-way communication
  • variational equilibrium

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  • Cite this

    Tushar, W., Zhang, J. A., Smith, D. B., Thiebaux, S., & Poor, H. V. (2013). Prioritizing consumers in smart grid: Energy management using game theory. In 2013 IEEE International Conference on Communications, ICC 2013 (pp. 4239-4243). [6655229] (IEEE International Conference on Communications). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC.2013.6655229