DocumentCode :
2285668
Title :
Efficient solution of optimal multimarket electricity bid models
Author :
Corchero, Cristina ; Heredia, F. -Javier ; Mijangos, Eugenio
Author_Institution :
Dept. of Stat. & Operational Res., Univ. Politec. de Catalunya, Barcelona, Spain
fYear :
2011
fDate :
25-27 May 2011
Firstpage :
244
Lastpage :
249
Abstract :
Short-term electricity market is made up of a sequence of markets, that is, it is a multimarket environment. In the case of the Iberian Energy Market the sequence of major short-term electricity markets are the day-ahead market, the ancillary service market or secondary reserve market (henceforth reserve market), and a set of six intraday markets. Generation Companies (GenCos) that participate in the electricity market could increase their benefits by jointly optimizing their participation in this sequence of electricity markets. This work proposes a stochastic programming model that gives the GenCo the optimal bidding strategy for the day-ahead market (DAM), which considers the benefits and costs of participating in the subsequent markets and which includes both physical futures contracts and bilateral contracts.
Keywords :
power markets; stochastic programming; GenCo; Iberian energy market; ancillary service market; bilateral contract; day-ahead market; intraday market; optimal bidding strategy; optimal multimarket electricity bid model; physical future contract; secondary reserve market; short term electricity market; stochastic programming model; Biological system modeling; Contracts; Electricity; Electricity supply industry; Instruments; Optimization; Stochastic processes; Iberian Electricity Market; financial electricity markets; perspective cuts; spot electricity markets; stochastic programming;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Energy Market (EEM), 2011 8th International Conference on the European
Conference_Location :
Zagreb
Print_ISBN :
978-1-61284-285-1
Electronic_ISBN :
978-1-61284-284-4
Type :
conf
DOI :
10.1109/EEM.2011.5953017
Filename :
5953017
Link To Document :
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