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Oluwaseun Oladimeji; Oluwaseun Oladimeji
Harvested from ORCID Public Data FileOluwaseun Oladimeji in OpenAIRE Álvaro Ortega; Álvaro Ortega
Harvested from ORCID Public Data FileÁlvaro Ortega in OpenAIRE Lukas Sigrist; Lukas Sigrist
Harvested from ORCID Public Data FileLukas Sigrist in OpenAIRE
Luis Rouco; +2 AuthorsLuis Rouco
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesLuis Rouco in OpenAIRE Oluwaseun Oladimeji; Oluwaseun Oladimeji
Harvested from ORCID Public Data FileOluwaseun Oladimeji in OpenAIRE Álvaro Ortega; Álvaro Ortega
Harvested from ORCID Public Data FileÁlvaro Ortega in OpenAIRE Lukas Sigrist; Lukas Sigrist
Harvested from ORCID Public Data FileLukas Sigrist in OpenAIRE Luis Rouco; Luis Rouco
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesLuis Rouco in OpenAIRE Pedro Sánchez-Martín; Pedro Sánchez-Martín
Harvested from ORCID Public Data FilePedro Sánchez-Martín in OpenAIRE Enrique Lobato; Enrique Lobato
Harvested from ORCID Public Data FileEnrique Lobato in OpenAIREIn this work, the optimal participation of heterogeneous, Renewable Energy Source (RES)-based Virtual Power Plant (VPP) in Day-Ahead Market (DAM) and Intra-Day Market (IDM) is studied. For this purpose, a detailed model of the RES-based VPP and of the market operation is needed. The VPP includes both dispatchable and non-dispatchable RESs and flexible demand assets. This paper presents an improved, linear solar thermal plant model to consider its non-linear efficiency curve. A novel demand model with two flexibility levels that are associated with the different market sessions is also proposed. The market operation allows for updates of energy offers and this is used by the VPP to submit DAM auctions and to participate subsequently in IDM to correct for deviations. Finally, the optimal participation of the VPP in energy markets is assessed under different weather conditions.
Access RoutesGreen gold 9 citations 9 popularity Top 10% influence Average impulse Top 10% 
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