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

Nicolas Fatras*, Zheng Ma, Bo Nørregaard Jørgensen

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Abstrakt

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.

OriginalsprogEngelsk
TitelDistributed Computing and Artificial Intelligence, Special Sessions, 17th International Conference, DCAI 2020
RedaktørerSara Rodríguez González, Javier Prieto, Alfonso González-Briones, Arkadiusz Gola, George Katranas, Michela Ricca, Roussanka Loukanova, Roussanka Loukanova
Antal sider5
ForlagSpringer
Publikationsdato2021
Sider205-209
ISBN (Trykt)9783030538286
DOI
StatusUdgivet - 2021
Begivenhed17th International Symposium on Distributed Computing and Artificial Intelligence, DCAI 2020 - L´Aquila, Italien
Varighed: 17. jun. 202019. jun. 2020

Konference

Konference17th International Symposium on Distributed Computing and Artificial Intelligence, DCAI 2020
LandItalien
ByL´Aquila
Periode17/06/202019/06/2020
NavnAdvances in Intelligent Systems and Computing
Vol/bind1242 AISC
ISSN2194-5357

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