A multi-scale optimization model to assess the benefits of a smart charging policy for electrical vehicles

• Type: Article in International Conference Proceedings Book
• Date: 2013

Authors

M. Chammas (Author) Other; A. Chiche (Author) Other; L. Fournié (Author) Other; J. Nuno Fidalgo (Author) FEUP; M. J. Couto (Author) Other

Conference proceedings International

Title: 2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013

Pages: 1-6

2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013

Grenoble, 16 June 2013 through 20 June 2013

Indexing

ISI Web of Knowledge - 1 Citation

Scopus - 3 Citations

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

CORDIS: Technological sciences > Engineering

Other information

Authenticus ID: P-008-K46

DOI: 10.1109/ptc.2013.6652122

Abstract (EN): The recent development of electric vehicles (EVs) has brought a new set of problems regarding their integration in power networks, particularly in terms of the potential growth of peak load. The peak growth leads to the increase of losses and braches charging and to voltage drops. Conversely, optimizing EV charging policy creates new opportunities for both network safety and energy trading through the markets. This paper presents a multi-level framework combining two representations of a medium voltage (MV) network in order to optimize the EV charging policy. A minimizing cost approach is set, modeling day-ahead markets, and taking into account losses. The proposed methodology is tested on a typical MV network.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6