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Séminaire du GERAD

Incentive design for smart charging: Utility-customer interactions and distribution systems impact


25 oct. 2018   15h45 — 17h00

Kankar Bhattacharya University of Waterloo, Canada

With increasing environmental concerns, the penetration of electric vehicles (EVs) is expected to increase in the future. Such electrification of the transportation sector will impact the distribution grid adversely; however, EV smart charging strategies can help mitigate the impacts. In this presentation a mathematical model will be presented that represents the total charging load at an EV charging station (EVCS) in terms of controllable parameters. A queuing model is used to construct a data set of EV charging parameters which are input to a neural network (NN) to determine the controllable EVCS load model as a function of the number of EVs charging simultaneously, total charging current, arrival rate, and time; and various class of EVs. The load model is integrated within a distribution operations framework to determine the optimal operation and smart charging schedules of the EVCS. In the second part of the presentation, a smart charging approach is proposed where the charging loads are controlled and incentivized by the local distribution company (LDC) for every unit of energy controlled. A framework is proposed, that captures the relationship between EV customers’ participation and incentives offered by LDC, to determine the optimal participation of EVs in smart charging program and optimal incentives paid by the LDC, such that both parties are economically benefited. The relationship between the expected investment deferral and hence the economic benefits from smart charging participation are considered as well.

15h30-15h45: Come meet the speaker and other researchers over drinks and snacks
15h45-17h00: Presentation

Do not forget to confirm your attendance:

Miguel F. Anjos responsable


Salle 4488
Pavillon André-Aisenstadt
Campus de l'Université de Montréal
2920, chemin de la Tour Montréal QC H3T 1J4 Canada

Organisme associé

Chaire de recherche industrielle CRSNG-Hydro-Québec-Schneider Electric en optimisation des réseaux électriques intelligents

Poster_Seminar_oct_25.pdf (310 Ko)