Producción CyT
Capítulo de Libro
Autoría
J. Silvente
;
A. Aguirre
;
G. Crexells
;
M. Zamarripa
;
C.A. Méndez
;
M. Graells
;
A. Espuña
Fecha
2013
Editorial y Lugar de Edición
ELSEVIER SCIENCE BV
Libro
Computer-Aided Chemical Engineering, 32
(pp. 553-558)
ELSEVIER SCIENCE BV
ELSEVIER SCIENCE BV
ISBN
978-0-444-63234-0
Resumen
Información suministrada por el agente en
SIGEVA
A new optimization model is presented for the short-term management of the energy supply and demand in smart grids. The detailed model includes a flexible demand profile in order to manage the energy requirements by incorporating penalizations in the economic objective function for delays in satisfying energy demand. The MILP model for the optimization of deterministic scenarios is reformulated in order to incorporate discrete and hybrid time representations. This approach allows considering a ...
A new optimization model is presented for the short-term management of the energy supply and demand in smart grids. The detailed model includes a flexible demand profile in order to manage the energy requirements by incorporating penalizations in the economic objective function for delays in satisfying energy demand. The MILP model for the optimization of deterministic scenarios is reformulated in order to incorporate discrete and hybrid time representations. This approach allows considering a Different granularity of the problem. Finally, the improved performance of the hybrid approach introduced is shown by comparing the performance of these two time representations.
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Palabras Clave
ENERGY SUPPLYOPTMIZATIONSMART GRIDS