IEEE Power & Energy Society General Meeting - IEEE PES GM 2024, Seattle (Estados Unidos de América). 21-25 julio 2024
Resumen:
This paper proposes a robust optimal algorithm to determine the best portfolio configuration of Renewable-based Virtual Power Plants (RVPPs) over medium to long-term horizons. In this work, modifications to state-of-the-art robust formulations for short-term RVPP operation are proposed, addressing a broader simulation horizon and supporting the decision-making behind RVPP configuration. The algorithm accounts for the different uncertainties that characterize the problem, which include those linked to renewable generation such as hourly solar and wind maximum productions, as well as electricity market prices. The advantages of resource coordination within an RVPP are demonstrated in the case study, highlighting the advantage of flexible RVPP configurations over fixed portfolios.
Palabras clave: Aggregated Energy Resources, Virtual Power Plants, Renewable Generation, Power System Optimization
DOI: 
https://doi.org/10.1109/PESGM51994.2024.10688994
Publicado en IEEE PES GM 2024, pp: 1-5, ISBN: 979-8-3503-8184-9
Fecha de publicación: 2024-10-04.
Cita:
L.J. Fernández, H. Nemati, L. Sigrist, A. Ortega, Robust optimal portfolio configuration of Renewable-based Virtual Power Plants for long-term planning, IEEE Power & Energy Society General Meeting - IEEE PES GM 2024, Seattle (Estados Unidos de América). 21-25 julio 2024. En: IEEE PES GM 2024: Conference proceedings, ISBN: 979-8-3503-8184-9
