day-ahead market

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.
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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
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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.
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DOI10.1109/PES.2009.5275680
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Stochastic programming models for optimal bid strategies in the Iberian Electricity Market

Publication TypeConference Paper
Year of Publication2009
AuthorsF.-Javier Heredia; Cristina Corchero
Conference NameThe 20th International Symposium of Mathematical Programming (ISMP)
Conference Date23-28/08/2009
Conference LocationChicago
Type of WorkInvited oral presentation
Key Wordsresearch; stochastic programming; electricity markets; day-ahead market; bilateral contracts; futures contracts; optimal bid
AbstractThe day-ahead market is not only the main physical energy market of Portugal and Spain in terms of the amount of traded energy, but also the mechanism through which other energy products, as bilateral (BC) and physical futures contracts (FC), are integrated into the Iberian Electricity Market (MIBEL) energy production system. We propose stochastic programming models that give the optimal bidding and BC and FC nomination strategy for a price-taker generation company in the MIBEL. Implementation details and some first computational experiences for small real cases are presented.
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A stochastic approach to the decision support procedure for a Generation Company operating on Day-Ahead and Physical Derivatives Electricity Market

Publication TypeConference Paper
Year of Publication2009
AuthorsCristina Corchero; M-Teresa Vespucci; F-Javier Heredia; Mario Innorta
Conference NameEURO XXIII: 23rd European Conference on Operational Research
Conference Date05-08/07/2009
Conference LocationBonn, Germany
Type of WorkInvited oral presentation
Key Wordsresearch; electricity markets; day-ahead; futures contracts; hydro-thermal
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Estudi i optimització de l'oferta al Mercat Ibèric d'Electricitat (MIBEL)

Publication TypeTesis de Grau i Màster // BSc and MSc Thesis
Year of Publication2009
AuthorsSilvia Nieto; Iván Ruz
DirectorF.-Javier Heredia
Tipus de tesiTesi de Grau // BSC Thesis
TitulacióDiplomatura d'Estadística
CentreFacultat de Matemàtiques i Estadística, UPC
Data defensa09/07/2009
Nota // mark9.5 (over 10) E
Key Wordsteaching; PFC-DE; MIBEL; optimal bid; BSc Thesis
AbstractEstudi de les ofertes reals de les companyies productores d'energia elèctrica a MIBEL i comparació de dos models alternatius de optimització de l'oferta.
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Lectura de dos PFC's a la DE sobre oferta òptima als mercats d'energia elèctrica.

El passat dijous 9 de juliol de 2009 es va llegir el Projecte Final de Carrera dels alumnes Silvia Nieto i Ivan Ruz, que portava per títol "Estudi i optimització de l’oferta al Mercat Ibèric ’Electricitat (MIBEL)", dirigit pel professor Javier Heredia. Els objectius del treball han estat:


  • Fer una descriptiva de les dades obtingudes de les energies tèrmiques per veure el comportament que hi tenen.
  • Entendre el model d'optimització d'oferta presentat a l'article [1], i compendre la seva implementació.
  • Entendre el model d'optimització d'oferta de l'article [2] i resoldre una nova modelització adaptant aquest model a l'anterior fent els canvis pertinents.
  • Comparar els dos models i treure'n conclusions sobre quin és el més eficient.

Aquí teniu més informació.

[1] Arroyo, José M. ; Carrión, Miguel. A computationally efficient mixed-integer linear formulation for the termal unit commitment problem. Institute of Electrical and Electronics Engineers transactions on power systems, vol. 21, nº3, agost 2006.

[2] Cristina Corchero, F. Javier Heredia, "A Stochastic Programming Model for the Thermal Optimal Day-Ahead Bid Problem with Physical Futures Contracts", Submitted to European Journal of Operations Research, Barcelona, Espanya, Dept. of Statistics and Operations Research, Universitat Politècnica de Catalunya, 03/2009

 

A Stochastic Programming Model for the Thermal Optimal Day-Ahead Bid Problem with Physical Futures Contracts

Publication TypeReport
Year of Publication2009
AuthorsCristina Corchero; F. Javier Heredia
Pages19
Date03/2009
ReferenceResearch Report DR 2009/03, Dept. of Statistics and Operations Research, E-Prints UPC http://hdl.handle.net/2117/2795, Universitat Politècnica de Catalunya
Prepared forAccepted for publication at Computers and Operations Research
CityBarcelona, Spain.
Key Wordsresearch; Stochastic programming; OR in energy; electricity day-ahead market; futures contracts; optimal bid
AbstractThe reorganization of the electricity industry in Spain completed a new step with the start-up of the Derivatives Market. One main characteristic of MIBEL’s Derivatives Market is the existence of physical futures contracts; they imply the obligation to settle physically the energy. The market regulation establishes the mechanism for including those physical futures in the day-ahead bidding of the Generation Companies. The goal of this work is to optimize coordination between physical futures contracts and the Day-Ahead bidding which follow this regulation. We propose a stochastic quadratic mixed-integer programming model which maximizes the expected profits, taking into account futures contracts settlement. The model gives the simultaneous optimization for the Day-Ahead Market bidding strategy and power planning production (unit commitment) for the thermal units of a price-taker Generation Company. The uncertainty of the day-ahead market price is included in the stochastic model through a set of scenarios. Implementation details and some first computational experiences for small real cases are presented.
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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 TypeConference Paper
Year of Publication2008
AuthorsVespucci, M.T.; Corchero, C.; Innorta, M.; Heredia, F.-Javier
Conference Name43rd Euro Working Group on Financial Modelling Meeting
Conference Date4-5/09/2008
PublisherEuro Working Group on Financial Modelling
Conference LocationCass Business School, City University, London
Type of WorkInvited oral presentation
Key Wordsresearch; electricity markets; day-ahead; futures contracts; hydro-thermal
AbstractIn this paper we develop a decision support procedure for a Price-Taker producer operating on Day- Ahead and Physical Derivatives Electricity Markets. The management of the electricity generation companies and their operation in the liberalized electricity market on a short-term horizon is an interesting problem in continuous evolution. Specifically, the incorporation of the Electricity Derivatives Market is the natural improvement in the Electricity Day-Ahead Markets in most countries in the world. Therefore, the inclusion of the management of derivatives products in generation company models is also a natural improvement of them. In this work, the derivatives products studied are the futures contracts.
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