Electric vehicles optimal scheduling for peer-to-peer energy trade and ancillary services provision to the grid

Abdullah Azhar Al-Obaidi, Hany E.Z. Farag

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    3 Scopus citations

    Abstract

    Electric vehicles (EVs) have already been proliferated across the globe as an alternative to fossil-fueled vehicles to deal with the environmental issues. The extensive deployment of EVs can bring challenges to the grid if not properly integrated. Such challenges, however, can be turned into opportunities if the huge unused capacity of the battery storage in millions of EVs are utilized for ancillary services to the grid and peer-to-peer (PtP) energy trade. To that end, this paper proposes a new charging scheme for EVs considering PtP energy trade and ancillary services provision to the grid via smart contracts. A smart contract process is introduced to govern the PtP transactions between EV users. Further, an optimal EV charging scheduling algorithm is proposed that incorporates PtP energy offers and ancillary service requests into the scheduling process. The efficacy and feasibility of the proposed algorithm are validated through numerical studies.

    Original languageBritish English
    Title of host publication2020 IEEE Power and Energy Society General Meeting, PESGM 2020
    PublisherIEEE Computer Society
    ISBN (Electronic)9781728155081
    DOIs
    StatePublished - 2 Aug 2020
    Event2020 IEEE Power and Energy Society General Meeting, PESGM 2020 - Montreal, Canada
    Duration: 2 Aug 20206 Aug 2020

    Publication series

    NameIEEE Power and Energy Society General Meeting
    Volume2020-August
    ISSN (Print)1944-9925
    ISSN (Electronic)1944-9933

    Conference

    Conference2020 IEEE Power and Energy Society General Meeting, PESGM 2020
    Country/TerritoryCanada
    CityMontreal
    Period2/08/206/08/20

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