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Erschienen in: Dynamic Games and Applications 3/2022

28.06.2022

Robust Integration of Electric Vehicles Charging Load in Smart Grid’s Capacity Expansion Planning

verfasst von: Sajad Aliakbari Sani, Olivier Bahn, Erick Delage, Rinel Foguen Tchuendom

Erschienen in: Dynamic Games and Applications | Ausgabe 3/2022

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Abstract

Battery charging of electric vehicles (EVs) needs to be properly coordinated by electricity producers to maintain the network reliability. In this paper, we propose a robust approach to model the interaction between a large fleet of EV users and utilities in a long-term generation expansion planning problem. In doing so, we employ a robust multi-period adjustable generation expansion planning problem, called R-ETEM, in which demand responses of EV users are uncertain. Then, we employ a linear quadratic game to simulate the average charging behavior of the EV users. The two models are coupled through a dynamic price signal broadcasted by the utility. Mean field game theory is used to solve the linear quadratic game model. Finally, we develop a new coupling algorithm between R-ETEM and the linear quadratic game with the purpose of adjusting in R-ETEM the uncertainty level of EV demand responses. The performance of our approach is evaluated on a realistic case study that represents the energy system of the Swiss “Arc Lémanique” region. Results show that a robust behaviorally-consistent generation expansion plan can potentially reduce the total actual cost of the system by 6.2% compared to a behaviorally inconsistent expansion plan.

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Metadaten
Titel
Robust Integration of Electric Vehicles Charging Load in Smart Grid’s Capacity Expansion Planning
verfasst von
Sajad Aliakbari Sani
Olivier Bahn
Erick Delage
Rinel Foguen Tchuendom
Publikationsdatum
28.06.2022
Verlag
Springer US
Erschienen in
Dynamic Games and Applications / Ausgabe 3/2022
Print ISSN: 2153-0785
Elektronische ISSN: 2153-0793
DOI
https://doi.org/10.1007/s13235-022-00454-y

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