Stochastic Optimization for the Daily Joint Operation of Wind/PV and Energy Storage - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2017

Stochastic Optimization for the Daily Joint Operation of Wind/PV and Energy Storage

Résumé

This paper deals with the problem of optimal bidding in a day-ahead market of electricity for a power producer having joint operation of wind with photovoltaic power systems and storage of energy. Uncertainty, not only on electricity market prices, but also on wind and photovoltaic powers, has to be faced in order to achieve optimal bidding. The problem is viewed as a sort of a two-stage stochastic optimization problem formulated by mix-integer linear programming. A case study with data from the Iberian Peninsula is presented and a comparison between joint and disjoint operations is discussed, allowing concluding that the joint operation attenuates the economic impact of disjoint operation volatility.
Fichier principal
Vignette du fichier
448071_1_En_27_Chapter.pdf (574.36 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01629576 , version 1 (06-11-2017)

Licence

Identifiants

Citer

Isaías Gomes, Hugo Pousinho, Rui Melício, Vitor Mendes. Stochastic Optimization for the Daily Joint Operation of Wind/PV and Energy Storage. 8th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), May 2017, Costa de Caparica, Portugal. pp.277-286, ⟨10.1007/978-3-319-56077-9_27⟩. ⟨hal-01629576⟩
380 Consultations
60 Téléchargements

Altmetric

Partager

More