Pricing G2V/V2G Modes through Characterizing the PEVs Traffic Behavior

• Type: Article in International Conference Proceedings Book
• Date: 2017

Authors

Neyestani, N (Author) Other; Damavandi, MY (Author) Other; Catalao, JPS (Author) FEUP

Conference proceedings International

Title: 2017 IEEE MANCHESTER POWERTECH

IEEE Manchester PowerTech

Manchester, ENGLAND, JUN 18-22, 2017

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Other information

Authenticus ID: P-00N-384

DOI: 10.1109/ptc.2017.7981245

Abstract (EN): In this paper, a mixed-integer linear programing (MILP) model for characterizing the traffic behavior of plug-in electric vehicles (PEVs) in an urban environment is proposed. The paper proposes the procedure to mathematically model the uncertain behavior of the PEVS. As the PEV's traffic pattern affects the potential of PEV parking lot (PL) in terms of available capacity and state of charge, the characterized PEVs are employed to provide the proper pricing schemes for the PEVs in PL. The results discuss the mutual effect of PEVs behavior on the profit of PL, as well as the effects of PL's tariffs on motivating PEVs to provide more flexibility for the PL. The results show that with a proper pricing scheme both parties (i.e., PEV owners and PL) can earn higher profits, while the charging requirements are met based on the preferences of the owners.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6