Stochastic Dual Dynamic Programming as a modelling Tool for Power Systems with Demand Response and intermittent Renewables - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2022

Stochastic Dual Dynamic Programming as a modelling Tool for Power Systems with Demand Response and intermittent Renewables

Résumé

In modern power systems modelling notions of stochasticity and stock management have acquired importance outside of the world of hydroelectricity due the emergence of intermittent renewables, batteries and demand-side management. This paper proposes a short review and description of Stochastic Dual Dynamic Programming with the concern of applying it to such large scale power systems. An application of SDDP to North Western Europe's power 2023 power system with internal high gas prices, interconnections with neighbours having access to cheaper gas and with demand response is presented. We show that demand-response reduces market prices, outages and drives out of the market peaking gas plants while improving social welfare in the market.
Fichier principal
Vignette du fichier
SDDP_Demand_Response_ANCEL_MASSOL.pdf (872.33 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04297634 , version 1 (21-11-2023)

Identifiants

  • HAL Id : hal-04297634 , version 1

Citer

Julien Ancel, Olivier Massol. Stochastic Dual Dynamic Programming as a modelling Tool for Power Systems with Demand Response and intermittent Renewables. 17th IAEE European Conference, Sep 2022, Athènes, Greece. ⟨hal-04297634⟩
25 Consultations
8 Téléchargements

Partager

Gmail Facebook X LinkedIn More