A bilevel approach to optimize electricity prices
Document type :
Compte-rendu et recension critique d'ouvrage
DOI :
Title :
A bilevel approach to optimize electricity prices
Author(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]
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]
Journal title :
Yugoslav Journal of Operations Research
Pages :
9-30
Publisher :
University of Belgrade
Publication date :
2019
ISSN :
0354-0243
English keyword(s) :
Demand-Side Management
Electricity Market
Bilevel Optimization
Complementary Slackness Conditions
Electricity Market
Bilevel Optimization
Complementary Slackness Conditions
HAL domain(s) :
Computer Science [cs]/Operations Research [math.OC]
English abstract : [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, ...
Show more >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.Show less >
Show more >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.Show less >
Language :
Anglais
Popular science :
Non
Collections :
Source :
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