Economic Value and User Remuneration for EV Based Distribution Grid Services

Lisa Calearo, Andreas Thingvad, Hans Henrik Ipsen, Mattia Marinelli

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    Abstract

    This paper describes a method to estimate the monetary remuneration for the EV user support in distribution grids. The economic expenses of the conservative reinforcement solution are used for developing the methodology which is first derived and afterwards applied to a piece of Danish distribution grid consisting of 127 customers. In the conservative scenario the DSO should invest approx. 388718 DKK (52000e ) on new upgraded components. With EV support service the potential
    available money for the EV support remuneration is evaluated to be 187 DKK/week (25e /week). Considering a customer with an average EV load consumption, the annual remuneration would be 77 DKK (10e ). It is concluded that, if the components are severely overloaded, for the DSO it is more cost effective to invest in components upgrade. Conversely if the components are barely overloaded or close to their limit, the EV user support can benefit both the DSO and the users.
    Original languageEnglish
    Title of host publicationProceedings of 2019 IEEE PES Innovative Smart Grid Technologies Europe
    Number of pages5
    PublisherIEEE
    Publication date2020
    ISBN (Electronic)978-1-5386-8218-0
    DOIs
    Publication statusPublished - 2020
    Event2019 IEEE PES Innovative Smart Grid Technologies Europe - Universitatea Politehnica din București, Bucharest, Romania
    Duration: 29 Sept 20192 Oct 2019
    Conference number: 8
    http://sites.ieee.org/isgt-europe-2019/
    https://ieeexplore.ieee.org/xpl/conhome/8892271/proceeding

    Conference

    Conference2019 IEEE PES Innovative Smart Grid Technologies Europe
    Number8
    LocationUniversitatea Politehnica din București
    Country/TerritoryRomania
    CityBucharest
    Period29/09/201902/10/2019
    Internet address

    Keywords

    • Distribution grid
    • Electric vehicles
    • Loading issue
    • Flexibility
    • User remuneration

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