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

Nicolas Fatras; Zheng Ma; Bo Nørregaard Jørgensen

doi:10.1007/978-3-030-53829-3_22

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

Nicolas Fatras^*, Zheng Ma, Bo Nørregaard Jørgensen

^*Kontaktforfatter for dette arbejde

Publikation: Kapitel i bog/rapport/konference-proceeding › Konferencebidrag i proceedings › Forskning › peer review

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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.

Originalsprog	Engelsk
Titel	Distributed Computing and Artificial Intelligence, Special Sessions, 17th International Conference, DCAI 2020
Redaktører	Sara Rodríguez González, Alfonso González-Briones, Arkadiusz Gola, George Katranas, Michela Ricca, Roussanka Loukanova, Javier Prieto
Forlag	Springer
Publikationsdato	2021
Sider	205-209
ISBN (Trykt)	9783030538286
ISBN (Elektronisk)	978-3-030-53829-3
DOI	https://doi.org/10.1007/978-3-030-53829-3_22
Status	Udgivet - 2021
Begivenhed	17th International Symposium on Distributed Computing and Artificial Intelligence, DCAI 2020 - L´Aquila, Italien Varighed: 17. jun. 2020 → 19. jun. 2020

Konference

Konference	17th International Symposium on Distributed Computing and Artificial Intelligence, DCAI 2020
Land/Område	Italien
By	L´Aquila
Periode	17/06/2020 → 19/06/2020

Navn	Advances in Intelligent Systems and Computing
Vol/bind	1242 AISC
ISSN	2194-5357

Dokumenter og links

10.1007/978-3-030-53829-3_22

Open Access VersionAccepteret manuskript, 258 KB

Citationsformater

Fatras, N., Ma, Z., & Jørgensen, B. N. (2021). System architecture modelling framework applied to the integration of electric vehicles in the grid. I S. Rodríguez González, A. González-Briones, A. Gola, G. Katranas, M. Ricca, R. Loukanova, & J. Prieto (red.), Distributed Computing and Artificial Intelligence, Special Sessions, 17th International Conference, DCAI 2020 (s. 205-209). Springer. Advances in Intelligent Systems and Computing Bind 1242 AISC https://doi.org/10.1007/978-3-030-53829-3_22

Fatras, Nicolas ; Ma, Zheng ; Jørgensen, Bo Nørregaard. / System architecture modelling framework applied to the integration of electric vehicles in the grid. Distributed Computing and Artificial Intelligence, Special Sessions, 17th International Conference, DCAI 2020. red. / Sara Rodríguez González ; Alfonso González-Briones ; Arkadiusz Gola ; George Katranas ; Michela Ricca ; Roussanka Loukanova ; Javier Prieto. Springer, 2021. s. 205-209 (Advances in Intelligent Systems and Computing, Bind 1242 AISC).

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title = "System architecture modelling framework applied to the integration of electric vehicles in the grid",

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.",

keywords = "EV grid integration, Modelling architecture, Stage-wise approach",

author = "Nicolas Fatras and Zheng Ma and J{\o}rgensen, {Bo N{\o}rregaard}",

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pages = "205--209",

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booktitle = "Distributed Computing and Artificial Intelligence, Special Sessions, 17th International Conference, DCAI 2020",

address = "Germany",

note = "17th International Symposium on Distributed Computing and Artificial Intelligence, DCAI 2020 ; Conference date: 17-06-2020 Through 19-06-2020",

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Fatras, N , Ma, Z & Jørgensen, BN 2021, System architecture modelling framework applied to the integration of electric vehicles in the grid. i S Rodríguez González, A González-Briones, A Gola, G Katranas, M Ricca, R Loukanova & J Prieto (red), Distributed Computing and Artificial Intelligence, Special Sessions, 17th International Conference, DCAI 2020. Springer, Advances in Intelligent Systems and Computing, bind 1242 AISC, s. 205-209, 17th International Symposium on Distributed Computing and Artificial Intelligence, DCAI 2020, L´Aquila, Italien, 17/06/2020. https://doi.org/10.1007/978-3-030-53829-3_22

System architecture modelling framework applied to the integration of electric vehicles in the grid. / Fatras, Nicolas ; Ma, Zheng ; Jørgensen, Bo Nørregaard.

Distributed Computing and Artificial Intelligence, Special Sessions, 17th International Conference, DCAI 2020. red. / Sara Rodríguez González; Alfonso González-Briones; Arkadiusz Gola; George Katranas; Michela Ricca; Roussanka Loukanova; Javier Prieto. Springer, 2021. s. 205-209 (Advances in Intelligent Systems and Computing, Bind 1242 AISC).

Publikation: Kapitel i bog/rapport/konference-proceeding › Konferencebidrag i proceedings › Forskning › peer review

TY - GEN

T1 - System architecture modelling framework applied to the integration of electric vehicles in the grid

AU - Fatras, Nicolas

AU - Ma, Zheng

AU - Jørgensen, Bo Nørregaard

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - EV grid integration

KW - Modelling architecture

KW - Stage-wise approach

U2 - 10.1007/978-3-030-53829-3_22

DO - 10.1007/978-3-030-53829-3_22

M3 - Article in proceedings

AN - SCOPUS:85089608892

SN - 9783030538286

T3 - Advances in Intelligent Systems and Computing

SP - 205

EP - 209

BT - Distributed Computing and Artificial Intelligence, Special Sessions, 17th International Conference, DCAI 2020

A2 - Rodríguez González, Sara

A2 - González-Briones, Alfonso

A2 - Gola, Arkadiusz

A2 - Katranas, George

A2 - Ricca, Michela

A2 - Loukanova, Roussanka

A2 - Prieto, Javier

PB - Springer

T2 - 17th International Symposium on Distributed Computing and Artificial Intelligence, DCAI 2020

Y2 - 17 June 2020 through 19 June 2020

ER -

Fatras N , Ma Z , Jørgensen BN. System architecture modelling framework applied to the integration of electric vehicles in the grid. I Rodríguez González S, González-Briones A, Gola A, Katranas G, Ricca M, Loukanova R, Prieto J, red., Distributed Computing and Artificial Intelligence, Special Sessions, 17th International Conference, DCAI 2020. Springer. 2021. s. 205-209. (Advances in Intelligent Systems and Computing, Bind 1242 AISC). https://doi.org/10.1007/978-3-030-53829-3_22

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

Abstrakt

Konference

Dokumenter og links

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Citationsformater