PublicadoEl 23/11/22 por Comillas
Artículo

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

tipo de documento semantico ckh_publication

Ficheros

IIT-17-106A.pdf
Tamaño 2960379
Formato Adobe PDF
Fecha de publicación 30/05/2019
Fuente Revista: Energies, Periodo: 1, Volumen: online, Número: 11, Página inicial: 2068-1, Página final: 2068-15
Estado info:eu-repo/semantics/publishedVersion

Resumen

Idioma es-ES
Idioma en-GB
Resumen

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.

Grupos de investigación y líneas temáticas Instituto de Investigación Tecnológica (IIT)
Tipo de archivo application/pdf
Idioma en-GB
Tipo de acceso info:eu-repo/semantics/openAccess
Fecha de modificacion 09/09/2022
Fecha de disponibilidad 27/11/2019
fecha de alta 27/11/2019

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