energy and power systems

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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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. 

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

Publication TypeReport
Year of Publication2008
AuthorsHeredia, F.-Javier, Rider, Marcos.-J., Corchero, C.
Pages12
Date11/2008
ReferenceResearch report DR 2008/13, Dept. of Statistics and Operations Research. E-Prints UPC, http://hdl.handle.net/2117/2468. Universitat Politècnica de Catalunya
Prepared forPublished on august 2010 at IEEE Transactions on Power Systems
Key Wordsresearch; stochastic programming; electricity markets; day-ahead market, bilateral contracts; Virtual Power Plants; optimal bid
AbstractThis paper develops 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, with a special consideration for the new mechanism to balance the competition of the production market, namely virtual power plants auctions (VPP). The model allows a price-taker generation company to decide the unit commitment of the thermal units, the economic dispatch of the bilateral contracts between the thermal units and the generic programming unit (GPU) and the optimal sale/purchase bids for all units (thermal and generic) observing the MIBEL regulation. The uncertainty of the spot prices is represented through scenario sets built from the most recent real data using scenario reduction techniques. The model was solved with real data from a Spanish generation company and spot prices, and the results are reported and analyzed.
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A decision support for a Price-Taker producer operating on Day-Ahead and Physical Derivatives Electricity Markets

Publication TypeReport
Year of Publication2008
AuthorsVespucci, M.T.; Corchero, C.; Innorta, M.; Heredia, F.-Javier
Pages10
Date12/2008
ReferenceWorking paper n12/MS-2008, Dipartimento di Ingegneria dell'Informazione e Metodi Matematici, Università degli Studi di Bergamo
CityBergamo, Italy
Key Wordsresearch; stochastic programming; electricity markets; futures contracts; hydro-thermal
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Short- and Medium-Term Multimarket Optimal Electricity Generation Planning with Risk and Environmental Constraints (DPI2008-02153)

Publication TypeFunded research projects
Year of Publication2008
AuthorsF.-Javier Heredia
Type of participationProject leader
Duration01/2009-12/2011
CallProyectos de Investigación Fundamental no Orientada 2008. IV Plan Nacional de I+D+i (2008-2011)
Funding organizationMinisterio de Ciencia e Innovación, Gobierno de España
PartnersUnión Fenosa, Gas Natural, Universidad Politècnica de Catalunya, Universidad del País Vasco, Universidade Estadual de Campinas-UNICAMP, University of Edinburgh, Norwegian University of Science and Technology.
Full time researchers6 EDP
Budget157.300'00€
Project codeDPI2008-02153
Key Wordsresearch; stochastic programming; electricity markets; risc; multimarket; environmental constraints; project; public; competitive; micinn; energy
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A decision support procedure for a Price-Taker producer operating on Day-Ahead and Physical Derivatives Electricity Markets

Publication TypeConference Paper
Year of Publication2008
AuthorsCristina Corchero; F-Javier Heredia; M-Teresa Vespucci; Mario Innorta
Conference NameV International Summer School in Risk Measurement and Control
Conference Date30/06-04/07/2008
PublisherLuiss Guido Carli University
Conference LocationRoma
Type of WorkContributed oral presentation
Key Wordsfuture contracts; electricity markets; stochastic programming; research
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Optimal thermal and virtual power plants operation in the day-ahead electricity market.

Publication TypeConference Paper
Year of Publication2008
AuthorsF.-Javier Heredia; Marcos-J. Rider; Cristina Corchero
Conference NameAPMOD 2008 International Conference on Applied Mathematical Programming and Modelling
Series TitleAPMOD2008 CONFERENCE BOOK
Pagination21
Conference Date27-30/05/2008
Conference LocationComenius University, Bratislava, Slovak Republic
Type of WorkContributed presentation
Key Wordsstochastic programming; electricity markets; day-ahead market; bilateral contracts; Virtual Power Plant; Generic Programming Unit; MIBEL; modellization; research
AbstractThe new rules of the electrical energy production market operation of the Iberic Electricity Market MIBEL (mainland Spanish and Portuguese systems), for the diary and intra-diary market (July 2007), bring new challenges in the modeling and solution of the production market operation. Aiming to increase the proportion of electricity that is purchased through bilateral contracts with duration of several months and intending to stimulate liquidity in forward electricity markets, the Royal Decree 1634/2006, dated December 29th, 2006 imposes to Endesa and Iberdrola (the two dominant utility companies in the Spanish peninsular Markets) to hold a series of five auctions offering virtual power plant (VPP) capacity to any party who is a member of the MIBEL. Other experience of the application of VPP auctions can be seen in France, Belgium and Germany. In Spain, the VPP capacity means that the buyer of this product will have the capacity to generate MWh at his disposal. The buyer can exercise the right to produce against an exercise price that is set in advance, by paying an option premium. So although Endesa and Iberdrola still own the power plants, part of their capacity to produce will be at the disposal of the buyers of VPP. VPP capacity is represented by a set of hourly call options giving the buyer the right to nominate energy for delivery at a pre-defined exercise price. There will be baseload and peakload contracts with different exercise prices. The energy resulting from the exercise of the VPP options can be used by buyers in several ways: (a) national and international bilateral contracts prior to the day-ahead market; (b) bids to the day-ahead market and (c) national bilateral contracts after the day-ahead market. In order to operate the VPP options each buyer agent will have a Generic Unit (GU). This work develops an stochastic programming model for a Generation Company (GenCo) to find the optimal management of a VPP in the day-ahead electricity market under the most recent bilateral contracts regulation rules of MIBEL energy market.
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