Abstract
Among Distributed Energy Resources (DERs), Electric Vehicles (EVs) are promising resources for flexibility provision. However, the small-scale capacity hinders their possibility to enter the electricity markets. This paper focuses on the understanding of the market barrier for EVs aggregators to participate in the wholesale markets: the minimum allowable bid size. The developed Hybrid Robust/Two-Stage Stochastic optimization model considers three uncertainties, including the availability of the EVs, the day-ahead (DA) market prices, and the imbalance price. Besides, this model gives output for the DA energy program minimizing not only the DA cost of energy procurement but also the imbalance cost realizations after delivery-time. Especially, the temporal correlations are reflected by the Copula model for generating scenarios for the upward and downward imbalance price. The results with different minimum bid sizes (100 kWh, 500 kWh, and 1000 kWh) and different fleet sizes (500 EVs, 1000 EVs) for the public, private, and mixed portfolios are analysed to understand the impacts of the minimum bid size on the business case for small players.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2023 |
| Editors | Zbigniew Leonowicz |
| Publisher | Institute of Electrical and Electronics Engineers |
| Pages | 6 |
| Number of pages | 1 |
| ISBN (Electronic) | 979-8-3503-4743-2 |
| DOIs | |
| Publication status | Published - 3 Aug 2023 |
| Event | 2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2023 - Madrid, Spain Duration: 6 Jun 2023 → 9 Jun 2023 |
Conference
| Conference | 2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2023 |
|---|---|
| Country/Territory | Spain |
| City | Madrid |
| Period | 6/06/23 → 9/06/23 |
Funding
The authors would like to acknowledge the financial support for this work from RVO funded TROEF project (no. MOOI32025) (https://www.troef-energy.nl/), Twining thermal - electrical integrated storage to enable energy hubs (TwinTES project) that is funded by EIRES (no. 10032054), and the FlexiGrid project that is funded by the European Community’s Horizon 2020 Framework Programme under grant agreement (no. 864048) (https://flexigrid.org/).
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Aggregator
- Copula model
- Electric vehicles
- Hybrid Robust/Two-Stage Stochastic optimization
- Minimum Bid Size
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