Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/11531/87551
Título : Modeling demand flexibility of RES-based virtual power plants
Autor : Enoch Oladimeji, Oluwaseun
Ortega Manjavacas, Álvaro
Sigrist, Lukas
Sánchez Martín, Pedro
Lobato Miguélez, Enrique
Rouco Rodríguez, Luis
Fecha de publicación : 17-jul-2022
Editorial : Institute of Electrical and Electronics Engineers Power and Energy Society (Denver, Estados Unidos de América)
Resumen : 
In this paper, an approach to evaluate the benefits of demand flexibility for Virtual Power Plants (VPPs) is presented. The flexible demands chosen in this study are part of a renewable energy source-based VPP that participates in Day-Ahead Market (DAM) and Intra-Day Market (IDM) and has dispatchable and non-dispatchable assets. A demand model with bi-level flexibility is proposed: the first level is associated with DAM, whereas the second level is related to IDM sessions. Simulations are carried out considering a 12-node network to ascertain the eventual impacts of modeling demand flexibility on VPP operation. The market structure considered in the case study resembles the different trading floors in the Spanish electricity market. Results obtained show that the proposed demand flexibility scheme increases the overall profit of the VPP, as well as the revenues of the demand owners without disrupting the consumer’s comfort.
Descripción : Capítulos en libros
URI : http://hdl.handle.net/11531/87551
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