Title
Optimal bidding strategies for thermal and generic programming units in the day-ahead electricity market
Date Issued
01 August 2010
Access level
open access
Resource Type
journal article
Author(s)
Heredia F.J.
Corchero C.
Universitat Politècnica de Catalunya
Abstract
This study has developed a stochastic programming model that integrates the day-ahead optimal bidding problem with the most recent regulation rules of the Iberian Electricity Market (MIBEL) for bilateral contracts (BC), with a special consideration for the new mechanism to balance the competition of the production market, namely virtual power plant (VPP) auctions. The model allows a price-taking generation company (GenCo) to decide on the unit commitment of the thermal units, the economic dispatch of the BCs between the thermal units and the generic programming unit (GPU), and the optimal sale/purchase bids for all units (thermal and generic), by observing the MIBEL regulation. The uncertainty of the spot prices has been represented through scenario sets built from the most recent real data using scenario reduction techniques. The model has been solved using real data from a Spanish generation company and spot prices, and the results have been reported and analyzed. © 2010 IEEE.
Start page
1504
End page
1518
Volume
25
Issue
3
Language
English
OCDE Knowledge area
Ingeniería eléctrica, Ingeniería electrónica
Scopus EID
2-s2.0-77954834940
Source
IEEE Transactions on Power Systems
ISSN of the container
08858950
Source funding
Ministerio de Ciencia e Innovación
Sponsor(s)
Manuscript received November 17, 2008; revised March 28, 2009. First published February 08, 2010; current version published July 21, 2010. This work was supported by the Ministry of Science and Technology of Spain through CICYT Project DPI2005-09117-C02-01 and MICINN Project DPI2008-02153. Paper no. TPWRS-00930-2008.
Sources of information: Directorio de Producción Científica Scopus