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Optimal Day-Ahead Energy and Regulation Self-Scheduling of a Risk-Averse Electric vehicle Aggregator in the Nordic Market
KTH, School of Electrical Engineering and Computer Science (EECS), Electric Power and Energy Systems. (IRES)ORCID iD: 0000-0003-0685-0199
KTH, School of Electrical Engineering and Computer Science (EECS), Electric Power and Energy Systems. (IRES)
KTH, School of Electrical Engineering and Computer Science (EECS), Electric Power and Energy Systems. (IRES)
2019 (English)In: / [ed] IEEE, IEEE Xplore, 2019Conference paper, Published paper (Refereed)
Abstract [en]

Electric vehicles (EV) can be considered as energy storage with availability, energy and capacity constraints that can provide flexibility to the power system in the form of balancing products when aggregated. In this paper, we develop a two-stage stochastic optimization problem that maximizes the profit of a risk-averse EV aggregator for bids on the day ahead in both energy and Frequency Containment Reserve (FCR) markets. Unidirectional charging is examined, while we take into account uncertainty from prices and vehicle availability. Case studies are carried out in different Nordic bidding areas based on historical EV charging data. We identify a strong temporal alignment of EV availability and high FCR-N prices. Results show that consumption is shifted largely towards early hours of the morning. When compared to a reference cost of charging case, up to 50% of the cost of charging can be recovered in Norway, and 100% in Sweden.

Place, publisher, year, edition, pages
IEEE Xplore, 2019.
Keywords [en]
ancillary services, balancing markets, demand side management, electric vehicles
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering; Economics
Identifiers
URN: urn:nbn:se:kth:diva-254616OAI: oai:DiVA.org:kth-254616DiVA, id: diva2:1334214
Conference
13th IEEE PowerTech 2019, 23-27 June, Milano
Funder
Swedish Energy Agency
Note

QC 20190710

Available from: 2019-07-02 Created: 2019-07-02 Last updated: 2019-07-10Bibliographically approved

Open Access in DiVA

Herre et al. - 2019 - Optimal Day-Ahead Energy and Regulation Self-Scheduling of a Risk-Aberse Electric vehicle Aggregator in the Nordic Market(443 kB)226 downloads
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Herre, LarsDalton, JacobSöder, Lennart
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CiteExportLink to record
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Citation style
  • apa
  • ieee
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Language
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Output format
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