research

Optimal Bidding Strategies for Thermal and Combined Cycle Units in the Day-ahead Electricity Market with Bilateral Contracts

Publication TypeProceedings Article
Year of Publication2009
AuthorsHeredia, F.-Javier; Rider, Marcos.-J.; Corchero, C.
Conference Name2009 Power Engineering Society General Meeting
Pagination1-6
Conference Start Date26/07/2010
PublisherIEEE
Conference LocationCalgary
ISSN Number1944-9925
ISBN Number978-1-4244-4241-6
Key Wordsresearch; Electricity spot-market; bilateral contracts; combined cycle units; optimal bidding strategies; short-term electricity generation planning; stochastic programming; paper
AbstractThis paper developed a stochastic programming model that integrated the most recent regulation rules of the Spanish peninsular system for bilateral contracts in the day-ahead optimal bid problem. Our model allows a price-taker generation company to decide the unit commitment of the thermal and combined cycle programming units, the economic dispatch of the BC between all the programming units and the optimal sale bid by observing the Spanish peninsular regulation. The model was solved using real data of a typical generation company and a set of scenarios for the Spanish market price. The results are reported and analyzed.
URLClick Here
DOI10.1109/PES.2009.5275680
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New web page of the GNOM research group

 The Group on Numerical Optimization and Modeling (GNOM) has now a new web page at

htpp://gnom.upc.edu

This new site has been developed with Plone under the GenWeb framework of the UPC (http://genweb.upc.edu/).

 I proudly invite you to visit this new site, where all the relevant information about our research and teaching activity will be shown. You can also sindicate to the RSS channel.

Hope you like it!!

 

Optimal Bidding Strategies for Thermal and Generic Programming Units in the Day-Ahead Electricity Market

Publication TypeJournal Article
Year of Publication2010
AuthorsHeredia, F.-J; Rider, M.-Julio; Corchero, C.
Journal TitleIEEE Transactions on Power Systems
Volume25
Issue3
Pages1504-1518
Start Page1504
Journal DateAug. 2010
PublisherIEEE Power & Energy Society
ISSN Number0885-8950
Key Wordsresearch; paper; bilateral contracts; electricity spot market; optimal bidding strategies; short-term electricity generation planning; stochastic programming; virtual power plant auctions
AbstractThis 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.
URLClick Here
DOI10.1109/TPWRS.2009.2038269
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A decision support procedure for the short-term scheduling problem of a generation company operating on day-ahead and physical derivatives electricity markets

Publication TypeProceedings Article
Year of Publication2009
AuthorsM.-Teresa Vespucci; Cristina Corchero; Mario Innorta; F.-Javier Heredia
Conference Name11th International Conference on the Modern Information Technology in the Innovation Processes of the Industrial Enterprises (MITIP 2009)
Series TitleProceedings of the 11th International Conference on the Modern Information Technology in the Innovation Processes of the Industrial Enterprises (MITIP 2009)
Conference Start Date15-16/10/2009
Conference LocationBergamo, Italy
ISBN NumberISBN 978-88-89555-09-05
Key Wordsresearch; hydro-thermal; futures; day-ahead; GAMS, CPLEX; paper
URLClick Here
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New paper accepted for publication at the IEEE Transactions on Power Systems

 The paper "Optimal Bidding Strategies for Thermal and Generic Programming Units in the Day-ahead Electricity Market" has been recently accepted for publication at the journal  IEEE Transactions on Power Systems. In this work, the authors, prof. F.-Javier Heredia, Dr. Marcos.-J Rider and Ms. Cristina Corchero developed, within the general stochastic programming framework, a new optimal bid model for both thermal and generic programmingn units (also known as Virtual Power Plants) taken into account the most recent regulation rules of the Spanish peninsular system MIBEL. A previous version of the accepted paper can be downloaded from  http://hdl.handle.net/2117/2282.

To access to the full paper through the IEEEXplore digital library, click here.

Recognized research periods (Sexenios de investigación)

Publication TypeRecognized research periods (Sexenios de investigación)
Year of Publication2010
AuthorsHeredia, F.-Javier
Key Wordsresearch
Abstract
Nivell a efectes econòmics  Data d'inici Periode Resolució
Nivell 26  01/01/1998 1992-1997
Resolució ministeri.
Nivell 27  01/01/2006 1999-2005

Resolució ministeri.

Resolució complement autonòmic .

Nivell 27  01/01/2012  2006-2011

Resolució ministeri.

Resolució complement autonòmic  

Nivell 27
 01/01/2018  2012-2017

Resolució ministeri.

Resolució complement autonòmic.

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Workshop on Energy and Environment, Universitat de Girona

I have been kindly invited by the coordinator prof. Nicolas Boccard to attend the first

Workshop on Energy and Environment

to be held at the Cloister of the School for Humanities and Art, University of Girona

Friday, 2nd October 2009

Workshop on Energy and Environment

Publication TypeConference/School/Seminar attendance
Year of Publication2009
AuthorsF.-Javier Heredia
Event TypeWorkshop
Conference OrganiserUniversitat de Girona
Conference Dates02/10/2009
Conference LocationGirona, Spain
Key Wordsresearch; energy; environement
URLClick Here
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Optimal Bidding Strategies for Thermal and Combined Cycle Units in the Day-ahead Electricity Market with Bilateral Contracts

Publication TypeConference Paper
Year of Publication2009
AuthorsHeredia, F.-Javier; Rider, Marcos.-J.; Corchero, C.
Conference Name2009 Power Engineering Society General Meeting
Series TitleProceedings of the Power Engineering Society General Meeting, 2009. IEEE
Volume1
Pagination1-6
Conference Date26-30/07/2009
PublisherIEEE
Conference LocationCalgary, Alberta, Canada
EditorIEEE
Type of WorkContributed oral presentation
ISSN Number1944-9925
ISBN Number978-1-4244-4241-6
Key Wordsresearch; stochastic programming; electricity markets; day-ahead market, bilateral contracts; Combined Cycle Units; optimal bid
AbstractThis paper developed a stochastic programming model that integrated the most recent regulation rules of the Spanish peninsular system for bilateral contracts in the dayahead optimal bid problem. Our model allows a price-taker generation company to decide the unit commitment of the thermal and combined cycle programming units, the economic dispatch of the BC between all the programming units and the optimal sale bid by observing the Spanish peninsular regulation. The model was solved using real data of a typical generation company and a set of scenarios for the Spanish market price. The results are reported and analyzed.
URLClick Here
DOI10.1109/PES.2009.5275680
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Improving electricity market price scenarios by means of forecasting factor models

Publication TypeConference Paper
Year of Publication2009
AuthorsM.-Pilar Muñoz; Cristina Corchero; F.-Javier Heredia
Conference NameThe 57th Session of the International Statistical Institute
Conference Date16-22/08/2009
PublisherInternational Statistical Institute
Conference LocationDurban, South Africa
Type of WorkPlenary session
Key Wordsresearch; spot price forecasting; scenario generation; MIBEL
AbstractIn liberalized electricity markets, Generation Companies must build an hourly bid that is sent to the market operator. The price at which the energy will be paid is unknown during the bidding process and has to be forecast. In this work we apply forecasting factor models to this framework and study its suitability.
URLClick Here
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