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Bidding in a Day-Ahead Electricity Market: A Comparison of Decomposition Techniques

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IIT-02-004A.pdf (154.8Kb)
Date
2002-06-24
Author
Baillo Moreno, Alvaro
Ventosa Rodríguez, Mariano
Rivier Abbad, Michel Luis
Ramos Galán, Andrés
Relaño Cobián, Gregorio
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info:eu-repo/semantics/publishedVersion
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Abstract
 
 
Daily bidding is an activity of paramount importance for generation companies operating in dayahead electricity markets. The authors have developed a strategic bidding procedure based on stochastic programming to obtain optimal bids. In this paper, this large-scale mathematical programming problem is solved under the Benders and Lagrangian relaxation frameworks to determine the adequacy of these techniques to solve the optimal bidding problem. Numerical examples illustrate the conclusions of this research.
 
URI
http://hdl.handle.net/11531/5723
Bidding in a Day-Ahead Electricity Market: A Comparison of Decomposition Techniques
Tipo de Actividad
Capítulos en libros
Materias/ categorías / ODS
Instituto de Investigación Tecnológica (IIT)
Palabras Clave

Competitive electricity market, bidding, Benders decomposition, Lagrangian relaxation.
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