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A new model to simulate local market power in a multi-area electricity market: application to the European case

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IIT-17-106A.pdf (2.823Mb)
Fecha
2019-06-01
Autor
Orgaz Gil, Alberto
Bello Morales, Antonio
Reneses Guillén, Javier
Estado
info:eu-repo/semantics/publishedVersion
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The work presented in this article proposes an original method that models the medium-term market equilibrium under imperfect competition circumstances in multi-area electricity systems. It provides a system analysis considering multiple market splitting possibilities, where local market power may appear according to the status of the interconnections. As a result of new policies and regulations, power systems are increasingly integrating the existing electricity markets in unified frameworks. The integration of electricity markets poses highly challenging tasks due to the uncertainty that comes from the agents’ strategic behaviors which depend on multiple factors, for instance, the state of the interconnections. When it comes to modeling these effects, the purpose is to identify each strategy by using conjectured-price responses that depend on the different states of the system. Consequently, the problem becomes highly combinatorial, which heightens its size as well as its complexity. Therefore, the purpose of this work’s methodology is the reduction of the possible network configurations so as to ensure a computational tractability in the problem. In order to validate this methodology, it has been put to the test in a realistic and full-scale two-year operation planning model of the European electricity market that consists of a group of nine countries.
 
URI
https:doi.org10.3390en12112068
DOI
10.3390/en12112068
A new model to simulate local market power in a multi-area electricity market: application to the European case
Tipo de Actividad
Artículos en revistas
ISSN
1996-1073
Materias/ categorías / ODS
Instituto de Investigación Tecnológica (IIT)
Palabras Clave

conjectural variations; European internal electricity market; market equilibrium; multi-area system; optimization models
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Repositorio de la Universidad Pontificia Comillas copyright © 2015  Desarrollado con DSpace Software
Contacto | Sugerencias