Pricing G2V/V2G Modes through Characterizing the PEVs Traffic Behavior

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2017

Autores

Neyestani, N (Autor) Outra; Damavandi, MY (Autor) Outra; Catalao, JPS (Autor) FEUP

Ata de Conferência Internacional

Título: 2017 IEEE MANCHESTER POWERTECH

IEEE Manchester PowerTech

Manchester, ENGLAND, JUN 18-22, 2017

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 0 Citações

Outras Informações

ID Authenticus: 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6