Science and Technology Production
Book Chapter
Authorship
J. Silvente
;
A. Aguirre
;
G. Crexells
;
M. Zamarripa
;
C.A. Méndez
;
M. Graells
;
A. Espuña
Date
2013
Publishing House and Editing Place
ELSEVIER SCIENCE BV
Book
Computer-Aided Chemical Engineering, 32
(pp. 553-558)
ELSEVIER SCIENCE BV
ELSEVIER SCIENCE BV
ISBN
978-0-444-63234-0
Summary
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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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Key Words
ENERGY SUPPLYOPTMIZATIONSMART GRIDS