Cost optimization of a microgrid considering vehicle-to-grid technology and demand response

• Tipo: Artigo em Revista Científica Internacional
• Data: 2022

Autores

Beyazit, MA (Autor) Outra; Tascikaraoglu, A (Autor) Outra; Catalao, JPS (Autor) FEUP

Revista

Título: Sustainable Energy, Grids and Networks

Vol. 32

ISSN: 2352-4677

Editora: Elsevier

Indexação

ISI Web of Knowledge - 5 Citações

Scopus

Outras Informações

ID Authenticus: P-00X-76S

DOI: 10.1016/j.segan.2022.100924

Abstract (EN): Demand response (DR) programs can offer various benefits especially in microgrid environments with renewable energy systems (RESs) and energy storage technologies when effectively planned and managed. Accordingly, this study proposes an energy management approach for a neighborhood including residential end-users with photovoltaic (PV) systems, a shared energy storage system (ESS) and an electric vehicle (EV) fleet. The proposed approach presents a novel energy credit mechanism (ECM) for the EV fleet and households separately to exploit the EV batteries and store the excess PV energy in the neighborhood through the shared ESS for later use. End-users gain energy credits before a DR event and use these credits during the peak periods to minimize their total energy cost (TEC), resulted in a decrease in the peak demand. Also, the energy credits gained by the EV fleet are used through the vehicle-to-home (V2H) and vehicle-to-grid (V2G) services with the same objective. In order to conduct a more realistic analysis, a battery degradation cost estimation model is employed and the uncertain behavior of the EV users is considered. The case studies show that the proposed optimization strategy has the capability of considerably reducing the energy costs and peak demand.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 14