Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/5129
Title: Pricing G2V/V2G Modes through Characterizing the PEVs Traffic Behavior
Authors: Nilufar Neyestani
Damavandi,MY
João Catalão
Issue Date: 2017
Abstract: 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.
URI: http://repositorio.inesctec.pt/handle/123456789/5129
http://dx.doi.org/10.1109/ptc.2017.7981245
metadata.dc.type: conferenceObject
Publication
Appears in Collections:CPES - Articles in International Conferences

Files in This Item:
File Description SizeFormat 
P-00N-384.pdf
  Restricted Access
398.4 kBAdobe PDFView/Open Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.