Modeling demand flexibility of RES-based virtual power plants

O. Oladimeji, A. Ortega, L. Sigrist, P. Sánchez, E. Lobato, L. Rouco

IEEE Power & Energy Society General Meeting - IEEE PES GM 2022, Denver (Estados Unidos de América). 17-21 julio 2022

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.

Palabras clave: Day Ahead Market, Flexible Load, Intra-Day Market, Renewable Energy Sources, Virtual Power Plant

DOI: https://doi.org/10.1109/PESGM48719.2022.9916893

Publicado en IEEE PES GM 2022, pp: 1-5, ISBN: 978-1-6654-0824-0

Fecha de publicación: 2022-10-27.

Cita:
O. Oladimeji, A. Ortega, L. Sigrist, P. Sánchez, E. Lobato, L. Rouco, Modeling demand flexibility of RES-based virtual power plants, IEEE Power & Energy Society General Meeting - IEEE PES GM 2022, Denver (Estados Unidos de América). 17-21 julio 2022. En: IEEE PES GM 2022: Conference proceedings, ISBN: 978-1-6654-0824-0