The EU regulation on cross-border trade of electricity : A two-stage equilibrium model : A further step in decision support models for energy markets
Identifieur interne : 001571 ( Main/Exploration ); précédent : 001570; suivant : 001572The EU regulation on cross-border trade of electricity : A two-stage equilibrium model : A further step in decision support models for energy markets
Auteurs : O. Daxhelet [Belgique] ; Y. Smeers [Belgique]Source :
- European journal of operational research [ 0377-2217 ] ; 2007.
Descripteurs français
- Pascal (Inist)
- Réglementation, Union européenne, Contrôle accès, Réseau accès, Réseau communication, Gestion réseau, Bien être économique, Régime hors équilibre, Equilibre Nash, Equilibre jeu, Défaut, Compétitivité, Marché concurrentiel, Equilibre marché, Fixation prix, Méthode numérique, Coordination, Modélisation, Enchère.
- Wicri :
- topic : Compétitivité.
English descriptors
- KwdEn :
Abstract
The regulation on cross-border exchanges of electricity in the European Union is meant to enhance the trade of electricity between Member States, by facilitating access to the network and improving the management of congestion at the interconnections. This paper presents a computational model that embeds these two features. The problem is cast in the form of a two-stage equilibrium between regional Regulators. In the first stage, they decide on the allocation of their regional network costs between generators and customers. Either they maximise their regional welfare non-cooperatively (Nash equilibrium), or they centralise the decision as a super-regulator (leading to a cooperative equilibrium). In the second-stage equilibrium, the consequences of first-stage's decisions are assessed by modelling the energy market as the result of imperfect competition equilibrium on competitive market, coupled with regulated pricing on the domestic less competitive markets. The "rules" that come out of the first-stage game largely influence the final equilibrium. We illustrate this on an extensive numerical example, showing that the model behaves properly and identifying policy issues worth of further investigations.
Affiliations:
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Le document en format XML
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<term>Access network</term>
<term>Bidding</term>
<term>Communication network</term>
<term>Competitiveness</term>
<term>Coordination</term>
<term>Defect</term>
<term>European Union</term>
<term>Game equilibrium</term>
<term>Market equilibrium</term>
<term>Modeling</term>
<term>Nash equilibrium</term>
<term>Network management</term>
<term>Non equilibrium conditions</term>
<term>Numerical method</term>
<term>Open market</term>
<term>Pricing</term>
<term>Regulation</term>
<term>Welfare</term>
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<term>Réseau communication</term>
<term>Gestion réseau</term>
<term>Bien être économique</term>
<term>Régime hors équilibre</term>
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<term>Equilibre jeu</term>
<term>Défaut</term>
<term>Compétitivité</term>
<term>Marché concurrentiel</term>
<term>Equilibre marché</term>
<term>Fixation prix</term>
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<term>Coordination</term>
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<front><div type="abstract" xml:lang="en">The regulation on cross-border exchanges of electricity in the European Union is meant to enhance the trade of electricity between Member States, by facilitating access to the network and improving the management of congestion at the interconnections. This paper presents a computational model that embeds these two features. The problem is cast in the form of a two-stage equilibrium between regional Regulators. In the first stage, they decide on the allocation of their regional network costs between generators and customers. Either they maximise their regional welfare non-cooperatively (Nash equilibrium), or they centralise the decision as a super-regulator (leading to a cooperative equilibrium). In the second-stage equilibrium, the consequences of first-stage's decisions are assessed by modelling the energy market as the result of imperfect competition equilibrium on competitive market, coupled with regulated pricing on the domestic less competitive markets. The "rules" that come out of the first-stage game largely influence the final equilibrium. We illustrate this on an extensive numerical example, showing that the model behaves properly and identifying policy issues worth of further investigations.</div>
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