System architecture modelling framework applied to the integration of electric vehicles in the grid

Nicolas Fatras*, Zheng Ma, Bo Nørregaard Jørgensen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

9 Downloads (Pure)

Abstract

A structured approach for the design of a model architecture is presented. From a simplified representation of the current situation, the aim is to implement regulations and test solutions in order to reach future climate targets. The challenge is to combine model accuracy to minimise uncertainty of the results on one side, and ease of implementation/plausibility of scenarios on the other side, which often decreases as systems complexify. A stage-wise model expansion is suggested to balance these two criteria. This approach is applied to the case of increased grid integration of electric vehicles (EVs) in Denmark.

Original languageEnglish
Title of host publicationDistributed Computing and Artificial Intelligence, Special Sessions, 17th International Conference, DCAI 2020
EditorsSara Rodríguez González, Alfonso González-Briones, Arkadiusz Gola, George Katranas, Michela Ricca, Roussanka Loukanova, Javier Prieto
PublisherSpringer
Publication date2021
Pages205-209
ISBN (Print)9783030538286
ISBN (Electronic)978-3-030-53829-3
DOIs
Publication statusPublished - 2021
Event17th International Symposium on Distributed Computing and Artificial Intelligence, DCAI 2020 - L´Aquila, Italy
Duration: 17. Jun 202019. Jun 2020

Conference

Conference17th International Symposium on Distributed Computing and Artificial Intelligence, DCAI 2020
Country/TerritoryItaly
CityL´Aquila
Period17/06/202019/06/2020
SeriesAdvances in Intelligent Systems and Computing
Volume1242 AISC
ISSN2194-5357

Keywords

  • EV grid integration
  • Modelling architecture
  • Stage-wise approach

Fingerprint

Dive into the research topics of 'System architecture modelling framework applied to the integration of electric vehicles in the grid'. Together they form a unique fingerprint.

Cite this