Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/11531/88630
Título : Flexible Robust Optimal Bidding of Renewable Virtual Power Plants in Sequential Markets (https://doi.org/10.48550/arXiv.2402.12032)
Autor : Nemati, Hadi
Sánchez Martín, Pedro
Ortega Manjavacas, Álvaro
Sigrist, Lukas
Lobato Miguélez, Enrique
Resumen : .
In this paper, a novel approach to define the optimal bidding of renewable-only virtual power plants (RVPPs) in the day-ahead, secondary reserve, and intra-day markets is proposed. To this aim, a robust optimization algorithm is developed to account for the asymmetric nature of the uncertainties that characterize the market prices, as well as the energy production of the RVPP stochastic sources and flexible demand consumption. Simulation results show increased RVPP benefits compared to other existing solutions and demonstrate the potential of renewable sources to further increase their economic competitiveness. The simplicity of the implementation, the computational efficiency, and the flexible robustness are also verified
URI : http://hdl.handle.net/11531/88630
Aparece en las colecciones: Documentos de Trabajo

Ficheros en este ítem:
Fichero Descripción Tamaño Formato  
202452010173415_2402.12032v1 (1).pdf871,63 kBAdobe PDFVista previa
Visualizar/Abrir


Los ítems de DSpace están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.