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Exploring the Business Case of a Risk-Averse Electric Vehicle Aggregator in the Nordic Market
KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems. (IRES)
KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems. (IRES)ORCID iD: 0000-0003-0685-0199
KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems. (IRES)
2018 (English)Conference paper, Published paper (Refereed)
Abstract [en]

The Nordic power system is facing the challenge of the ongoing decrease of synchronous generation along with increased penetration of inverter based renewable generation leading to reduced system inertia. Meanwhile, the electrification of the transport sector will result in a significant amount of additional electrical loads. However, the electrification of private transport is a technology of growing interest that can provide flexibility to the power system if adequately utilized. Electric vehicles (EV) can be considered as temporary energy storage with availability, energy and capacity constraints.

In this paper, we use first hand data of a real EV fleet of Tesla vehicles and their historical driving patterns to develop a two-stage stochastic optimization problem. This model maximizes the profit of a risk-averse EV aggregator that aims to place optimal bids on the day ahead in both energy and Frequency Containment Reserve (FCR) markets. Only uni-directional charging is examined, while we take into account uncertainty from prices and vehicle utilization. Case studies are carried out modelling individual vehicle driving behavior in different Nordic price areas in both winter and summer.

We identify a strong alignment of EV availability and periods of high FCR 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 covered in Norway, while the entire cost is met in Sweden.

Place, publisher, year, edition, pages
Stockholm, 2018.
Keywords [en]
ancillary services, aggregation, balancing markets, demand side management, electricity prices, electric vehicles
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering; Economics
Identifiers
URN: urn:nbn:se:kth:diva-236314OAI: oai:DiVA.org:kth-236314DiVA, id: diva2:1256444
Conference
2nd E-Mobility Power System Integration Symposium
Note

QC 20181017

Available from: 2018-10-17 Created: 2018-10-17 Last updated: 2018-10-17Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf