DPI2008-02153

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
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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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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.
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Improving electricity market price scenarios by means of forecasting factor models

Publication TypeReport
Year of Publication2009
AuthorsM.-Pilar Muñoz; Cristina Corchero; F.-Javier Heredia
Pages12
Date09/2009
ReferenceResearch Report DR 2009/06, Dept. of Statistics and Operations Research, E-Prints UPC http://hdl.handle.net/2117/3047. Universitat Politècnica de Catalunya.
Prepared forPlenary session on the 57th Session of the International Statistical Institute, Durban, South Africa. Accepted for publication at International Statistical Review.
CityBarcelona.
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.
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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 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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DPI2008-02153

 

A Short-term Scheduling Model for a Generation Company operating on Day-Ahead and Physical Derivatives Electricity Markets

Publication TypeConference Paper
Year of Publication2009
AuthorsVespucci, M.T.; Corchero, C.; Heredia, F.-Javier; Innorta, M.
Conference NameThird FIMA International Conference
Conference Date19-22/01/2009
Conference LocationGressoney Saint Jean, Italy.
EditorFederazione Italiana di Matematica Applicata
Type of WorkInvited oral presentation
Key Wordsresearch; electricity markets; futures contracts; hydro-thermal
AbstractA decision support procedure is developed for the short-term hydro-thermal resource scheduling problem of a Generation Company operating in the liberalized electric energy market and aiming at profit maximization. The generation company is supposed to be a price-taker, i.e. without influence on the electricity market price: therefore the profit maximization model of the problem faced by the GenCo must take into account both technical problems of generation and uncertainty of electricity prices. The power producer may hedge against the significant risk factor represented by energy market-price by participating in the Derivatives electricity Market. The derivatives products considered in this work are the futures contracts. T
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Beca FPI-MICINN de doctorado en Mercados Eléctricos

(ATENCIÓN: CONVOCATORIA CERRADA Y RESUELTA) . ACCESO A LA CONVOCATORIA .

El Grupo de Optimitzación Numérica y Modelización (GNOM) del Departament d'Estadística I Investigació Operativa de la Universidad Poltécnica de Catalunya, dispone de una Beca de Formación de Personal Investigador (FPI) del Ministerio de Ciencia e Innovación, para la realización de una tesis doctoral dentro de un proyecto de investigación sobre Optimización de  Mercados Eléctricos financiado por el Plan Nacional de I+D+i. La duración de la beca es de hasta cuatro años. 

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