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Optimal Charging of Electric Vehicle Aggregations Participating in Energy and Ancillary Service Markets
School of Electrical and Information Engineering, Tianjin University, Tianjin, China.ORCID iD: 0000-0003-1324-9887
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0002-6279-4446
Faculty of Environmental Engineering, Wroclaw University of Science and Technology, Wroclaw, Poland.ORCID iD: 0000-0001-9576-7877
School of Electrical and Information Engineering, Tianjin University, Tianjin, China.ORCID iD: 0000-0002-0823-3365
2022 (English)In: IEEE Journal of Emerging and Selected Topics in Industrial Electronics, ISSN 2687-9735, Vol. 3, no 2, p. 270-278Article in journal (Refereed) Published
Abstract [en]

Providing ancillary services through flexible electric vehicle (EV) charging has the potential to offer extra market benefit for EVs. EV aggregator controlling a fleet of EVs can play a significant role in managing the considerable EV charging demand and bid in the electricity markets. The increasing penetration of EVs has created the feasibility of participating in both the day-ahead energy market and frequency regulation market. This article presents a multimarket optimization model for minimizing the net operation cost of EV charging considering the benefit from performing frequency regulation. A two-level optimization algorithm for EVs controlled by the aggregator is proposed to determine optimal operation strategies of EV aggregations and the charging power of each individual EV. The optimization is able to merge revenue from frequency regulation with the cost reduction objectives of traditional EV charging management. The effectiveness of optimization algorithm is demonstrated by simulating EVs charged at the workplace and residential areas. The operation of EV aggregator is studied considering the diverse charging need of individual EV and market prices acquired from Nord Pool real-time market and Swedish power system operator. The increased profitability of participation in the sequential electricity markets has been illustrated. Net operating cost of EV aggregations can be significantly reduced considering both capacity and energy remunerations in the regulation market and the charging demand in the energy market.

Place, publisher, year, edition, pages
2022. Vol. 3, no 2, p. 270-278
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-61148DOI: 10.1109/jestie.2021.3102417OAI: oai:DiVA.org:mdh-61148DiVA, id: diva2:1717009
Available from: 2022-12-07 Created: 2022-12-07 Last updated: 2022-12-07Bibliographically approved

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Li, Hailong

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  • apa
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  • de-DE
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  • asciidoc
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