Stochastic bidding strategy for electrical vehicle charging stations to participate in frequency containment reserves markets
| Autor: | Poria Astero, Corentin Evens |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
empirical charging data
stochastic bidding strategy frequency containment reserves markets electrical vehicle charging stations deterministic models maximum FCR Distribution or transmission of electric power TK3001-3521 Production of electric energy or power. Powerplants. Central stations TK1001-1841 |
| Zdroj: | IET Generation, Transmission & Distribution, Vol 14, Iss 13, Pp 2566-2572 (2020) |
| Druh dokumentu: | article |
| ISSN: | 1751-8695 1751-8687 |
| DOI: | 10.1049/iet-gtd.2019.0906 |
| Popis: | This study presents a stochastic bidding strategy for electrical vehicle charging stations (EVCSs) to participate in frequency containment reserves (FCRs) markets. To achieve this, the study starts by developing deterministic models to calculate the maximum FCR that could be provided by each charging event (cycle) of an electric vehicle. These models are established based on the technical requirements of FCR in the Nordic flexibility market, namely the frequency containment reserve for normal operation and frequency containment reserve for disturbances. These deterministic models will be combined with historical data of charging records in EVCS to develop a methodology to calculate the probability density functions of the FCR profiles. Finally, the optimum FCR profiles, which maximise the expected profit of EVCS from participating in the day‐ahead flexibility market, are estimated by performing a stochastic optimisation. The proposed methodology is evaluated by using empirical charging data of public EVCS in the Helsinki area. |
| Databáze: | Directory of Open Access Journals |
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