Optimum day-ahead bidding profiles of electrical vehicle charging stations in FCR markets

Poria Astero*, Corentin Evens

*Corresponding author for this work

    Research output: Contribution to journalArticleScientificpeer-review

    21 Citations (Scopus)
    119 Downloads (Pure)

    Abstract

    This research developed an application for electrical vehicles charging stations (EVCS) to estimate the optimum day-ahead bidding profiles in frequency containment reserves (FCR) markets and this paper presents the stochastic methodology behind this application. To achieve this, first, deterministic models are developed to calculate the maximum FCR that could be provided by each charging event (cycle) of an electric vehicle (EV). These models are established based on the technical requirements of FCR in the Nordic flexibility market, namely the frequency containment reserve for normal operation (FCR-N) and frequency containment reserve for disturbances (FCR-D). In the next step, these deterministic models will be combined with historical data of charging records in EVCS to calculate the probability density functions of the FCR profiles. Finally, the proposed application estimates the optimum FCR profiles, which maximise the expected profit of EVCS from participating in the day-ahead flexibility market, by performing a stochastic optimisation. The performance of the proposed application is evaluated by using empirical charging data of public EVCS in Helsinki area.
    Original languageEnglish
    Article number106667
    JournalElectric Power Systems Research
    Volume190
    DOIs
    Publication statusPublished - 1 Jan 2021
    MoE publication typeA1 Journal article-refereed
    Event21st Power Systems Computation Conference, PSCC 2020 - Porto, Portugal
    Duration: 29 Jun 20203 Jul 2020

    Funding

    The research leading to this work was being carried out as a part of the EU-SysFlex project (Pan-European system with an efficient coordinated use of flexibilities for the integration of a large share of RES), which received funding from the EU's Horizon 2020 programme under grant agreement No 773505 .

    Keywords

    • Ancillary service
    • Electrical vehicle charging stations
    • Frequency containment reserves markets

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