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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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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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DPI2005-09117-C02-01

 

DPI2008-02153

 

Optimal multimarket bid

 

 

Pla de treball:

  1. Estudiar normativa mercat reserva (P.O. 7.2)
  2. (CC) Modelització mercat de reserva: variables aleatòries rellevants-> arbres.
  3. (JH) Pensar com afecta secundària a l'oferta el mercat diari.

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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Generació de la corba d'oferta a partir de les dades públiques del MIBEL

Publication TypeReport
Year of Publication2008
AuthorsGlòria Casanellas; Cristina Corchero: F.-Javier Heredia
Pages27
Date11/2008
ReferenceResearch Report 2008/16, Dept. of Statistics and Operations Research, Universitat Politècnica de Catalunya
CityBarcelona
Key Wordsresearch; electricity markets; MIBEL; bidding
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