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dc.contributor.advisorReneses, Javier
dc.contributor.advisorBello Morales, Antonio
dc.contributor.authorOrgaz, Alberto
dc.contributor.otherUniversidad Pontificia Comillas, Escuela Técnica Superior de Ingeniería (ICAI)es_ES
dc.descriptionMaster in Research in Engineering Systems Modelinges_ES
dc.description.abstractThis paper presents an efficient approach for computing medium-term market equilibrium models under nonperfect competition, with a focus on multi-area systems, with multiple market splitting options. In accordance to the new policies and regulations aimed at creation of the Internal Electricity Market (IEM), Europe is evolving towards an integration of the electricity markets under a unified framework. Integrating the electricity markets already existing in the European countries represents a great challenge, since multiple agents’ strategic behaviors may appear depending on the state of the interconnections. When modeling this effect, the aim is to characterize each strategy by means of a conjectured price response, as a function of the states of the network. The methodology introduced in this paper reduces the possible network configurations thereby making the problem computationally tractable. Finally, this methodology has been applied to a two-year planning model for a set of nine European countries.es_ES
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.subject53 Ciencias económicases_ES
dc.subject5312 Economía sectoriales_ES
dc.subject531205 Energíaes_ES
dc.subject33 Ciencias tecnológicases_ES
dc.subject3306 Ingeniería y tecnología eléctricaes_ES
dc.subject330609 Transmisión y distribuciónes_ES
dc.titleMulti-area electricity market equilibrium model and its application to the European case : an efficient approach to study non-perfect competitiones_ES
dc.keywordsConjectural variations, European internal electricity market, Market equilibrium, Optimization modelses_ES

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Attribution-NonCommercial-NoDerivs 3.0 United States
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States