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PLAMER: Information system for bids analysis and forecasting of the Iberian electricity market

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IIT-11-041A.pdf (257.8Kb)
Fecha
2010-06-23
Autor
Sánchez Martín, Pedro
Estado
info:eu-repo/semantics/publishedVersion
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Resumen
 
 
This paper describes a strategic information platform developed for the German electric utility Eon, to provide historical bidding analysis and medium-term forecasting of the Iberian Electricity Market. This platform, PLAMER, has three main modules: Initialization module, consisting of different sub-modules to define the electrical system structure and to organize the input data of the rest of modules, PLAMER-bids, to read, aggregate and visualize market historical bids and also to prepare them for their future forecasted values, and PLAMER-clearing, for market clearing emulation using forecasted bids. PLAMER-clearing models the Iberian market based on a bid clearing mechanism with an inherent market splitting procedure. This market splitting is built with a bi-nodal simplification, one node representing the Spanish System and the other the Portuguese one. Both are simply connected by a unique equivalent interconnection line. The medium term clearing model uses a generation portfolio per generation company in terms of technologies, for supplying monthly demand for different load levels, and labour and non-labour periods. Some technical constraints, such as minimum outputs and pumping energy balance, are also taking into account. The mathematical problem of PLAMER-clearing is a quadratic programming model solved using GAMS language and CPLEX optimizer. Finally, a real Iberian case study is detailed and some market splitting outputs are analyzed.
 
URI
http://hdl.handle.net/11531/5601
PLAMER: Information system for bids analysis and forecasting of the Iberian electricity market
Tipo de Actividad
Capítulos en libros
Materias/ categorías / ODS
Instituto de Investigación Tecnológica (IIT)
Palabras Clave

Decision Support Systems, Information Systems, Electricity Markets, Auction Fitting, Interconnected Markets, Market Splitting, Mathematical Programming, Data Mining
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Repositorio de la Universidad Pontificia Comillas copyright © 2015  Desarrollado con DSpace Software
Contacto | Sugerencias