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 contributionpeer-review

    9 Citations (Scopus)

    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
    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
    Publication statusPublished - 2013
    Event2013 IEEE International Conference on Communications, ICC 2013 - Budapest, Hungary
    Duration: 9 Jun 201313 Jun 2013

    Publication series

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

    Conference

    Conference2013 IEEE International Conference on Communications, ICC 2013
    Country/TerritoryHungary
    CityBudapest
    Period9/06/1313/06/13

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