Titre :

A bilevel approach to optimize electricity prices

Auteur(s) :

Alekseeva, Ekaterina [Auteur]
Sobolev Institute of Mathematics
Brotcorne, Luce [Auteur]
Integrated Optimization with Complex Structure [INOCS]
Lepaul, Sébastien [Auteur]
EDF R&D [EDF R&D]
Montmeat, Alain [Auteur]
EDF R&D [EDF R&D]

Titre de la revue :

Yugoslav Journal of Operations Research

Pagination :

9-30

Éditeur :

University of Belgrade

Date de publication :

2019

ISSN :

0354-0243

Mot(s)-clé(s) en anglais :

Demand-Side Management
Electricity Market
Bilevel Optimization
Complementary Slackness Conditions

Discipline(s) HAL :

Computer Science [cs]/Operations Research [math.OC]

Résumé en anglais : [en]

To meet unbalanced demand, an energy provider has to include costly generation technologies, which in turn results in high residential electricity prices. Our work is devoted to the application of a bilevel optimisation, ...
Lire la suite >To meet unbalanced demand, an energy provider has to include costly generation technologies, which in turn results in high residential electricity prices. Our work is devoted to the application of a bilevel optimisation, a challenging class of optimisation problems, in electricity market. We propose an original demand-side management model, adapt a solution approach based on complementary slackness conditions, and provide the computational results on illustrative and real data. The goal is to optimise hourly electricity prices, taking into account consumers' behaviour and minimizing energy generation costs. By choosing new pricing policy and shifting electricity consumption from peak to off-peaks hours, the consumers might decrease their electricity payments and eventually, decrease the energy generation costs.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL