Assessment of real-time tariffs for electric vehicles in Denmark

T. Soares, C. Fonseca, H. Morais, S. Ramos, T. Sousa

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    The charging behavior of electric vehicles (EVs) is a key concern to system operators and retailers given a massive adoption these resources. System operators and retailers may profit from the handling of EVs as flexible loads. The former has interest to move their charging into periods without congestion and voltage problems. Similarly, the latter wants them to only charge at periods when energy is cheaper. This paper addresses the problem by modelling a real-time tariff to encourage flexible EVs charging behavior. More precisely, different tariffs are modelled based on the relation between wind power generation, load consumption and spot price, while assuming Denmark as showcase. The EVs behavior entails three different patterns and a socioeconomic term that defines the anxiety of EVs users' to be responsive to the tariffs. An important conclusion is that a proper real-time tariff design can reduce the energy costs for the retailer and EVs.

    Original languageEnglish
    Title of host publicationProceedings of 2019 IEEE Milan PowerTech
    Number of pages6
    PublisherIEEE
    Publication date1 Jun 2019
    Article number8810747
    ISBN (Electronic)9781538647226
    DOIs
    Publication statusPublished - 1 Jun 2019
    Event2019 IEEE Milan PowerTech - Milan, Italy
    Duration: 23 Jun 201927 Jun 2019
    Conference number: 13
    https://ieeexplore.ieee.org/xpl/conhome/8792346/proceeding

    Conference

    Conference2019 IEEE Milan PowerTech
    Number13
    Country/TerritoryItaly
    CityMilan
    Period23/06/201927/06/2019
    Internet address
    Series2019 IEEE Milan PowerTech, PowerTech 2019

    Keywords

    • Electric vehicle
    • Opportunity cost
    • Real-time tariff
    • Wind generation

    Fingerprint

    Dive into the research topics of 'Assessment of real-time tariffs for electric vehicles in Denmark'. Together they form a unique fingerprint.

    Cite this