modeling languages

Optimal sale bid for a wind producer in Spanish electricity market

Publication TypeTesis de Grau i Màster // BSc and MSc Thesis
Year of Publication2011
AuthorsSimona Sacripante
DirectorF.-Javier Heredia
Tipus de tesiMSc Thesis
TitulacióMaster in Statistics and Operations Research
CentreFaculty of Mathematics and Statistics
Data defensa10/11/2011
Nota // mark9 / 10
Key Wordsteaching; renewebable energy; electricity market; optimal bid; wind generators; wind; intraday market; wind producer; MSc Thesis
AbstractThe objective of this work is to find an optimal commercial strategy in the production market that would allow wind producer to maximize their daily profit. That can be achieved on one hand, increasing incomes in day-ahead and intraday markets, on the other hand, reducing deviation costs due to error in generation predictions.
DOI / handlehttp://hdl.handle.net/2099.1/13914
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Management Science Optimization Modeling with SAS/OR

 Els próxims dies 12, 13 i 14 de juliol participaré al V Summer School del Màster Interuniversitari d'Estadística i Investigació Operativa UP/UB impartint el curs  Management Science Optimization Modeling with SAS/OR , en col·laboració amb la professora Crisitina Corchero, investigadora de l'IREC i GNOM. Els objectius del curs son:

"This course is focused on the possibilities of the SAS/OR package to implement and solve some optimization models that are in the core of the so called Analytic Consulting which represents the application of the MS methodology to the consulting Activity. Although commonly considered as software for data management, SAS also includes through his SAS/OR package (OR for Operations Research) a broad list of procedures to implement and solve any kind of optimization problems. The course will give basic skills to the participants for the efficiency formulation, implementation, solution and analysis of several management science optimization problems with SAS/OR."

Podeu consultar els detalls del curs en aquest enllaç .

Efficient Solution of Optimal Multimarket Electricity Bid Models

Publication TypeProceedings Article
Year of Publication2011
AuthorsCristina Corchero; F.-Javier Heredia; Eugenio Mijangos
Conference Name8th International Conference on the European Energy Market (EEM11)
Series TitleTo be published in the IEEEXplore
Pagination244-249
Conference Start Date25/05/2011
PublisherInstitute of Electrical and Electronics Engineers, Inc.
Conference LocationZagreb, Croatia
EditorMarko Delimar
ISBN Number978-1-61284-286-8/11
Key Wordsspot electricity markets; financial electricity markets; Iberian Electricity Market; stochastic programming; perspective cuts; research; DPI2008-02153; paper
AbstractShort-term electricity market is made up of a sequence of markets, that is, it is a multimarket enviroment. In the case of the Iberian Energy Market the sequence of major short-term electricity markets are the day-ahead market, the ancillary service market or secondary reserve market (henceforth reserve market), and a set of six intraday markets. Generation Companies (GenCos) that participate in the electricity market could increase their benefits by jointly optimizing their participation in this sequence of electricity markets. This work proposes a stochastic programming model that gives the GenCo the optimal bidding strategy for the day-ahead market (DAM), which considers the benefits and costs of participating in the subsequent markets and which includes both physical futures contracts and bilateral contracts.
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DOI10.1109/EEM.2011.5953017
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Efficient Solution of Optimal Multimarket Electricity Bid Models

Publication TypeConference Paper
Year of Publication2011
AuthorsCristina Corchero; F.-Javier Heredia; Eugenio Mijangos
Conference Name8th International Conference on the European Energy Market (EEM11)
Series TitleInternational Conference on the European Energy Market
Conference Date25-27/05/2011
PublisherInstitute of Electrical and Electronics Engineers, Inc.
Conference LocationZagreb, Croatia
EditorMarko Delimar
Type of WorkContributed presentacion
ISBN Number978-1-61284-284-4
Key Wordsspot electricity markets; financial electricity markets; Iberian Electricity Market; stochastic programming; perspective cuts; research; DPI2008-02153
AbstractShort-term electricity market is made up of a sequence of markets, that is, it is a multimarket enviroment. In the case of the Iberian Energy Market the sequence of major short-term electricity markets are the day-ahead market, the ancillary service market or secondary reserve market (henceforth reserve market), and a set of six intraday markets. Generation Companies (GenCos) that participate in the electricity market could increase their benefits by jointly optimizing their participation in this sequence of electricity markets. This work proposes a stochastic programming model that gives the GenCo the optimal bidding strategy for the day-ahead market (DAM), which considers the benefits and costs of participating in the subsequent markets and which includes both physical futures contracts and bilateral contracts.
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A stochastic programming model for the optimal electricity market bid problem with bilateral contracts for thermal and combined cycle units

Publication TypeJournal Article
Year of Publication2012
AuthorsF.-Javier Heredia; Marcos J. Rider; C. Corchero
Journal TitleAnnals of Operations Research
Volume193
Issue1
Pages107-127
Start Page107
Journal Date2012
PublisherSpringer
ISSN Number0254-5330
Key Wordsresearch; paper; stochastic programming; day-ahead market; combined cycle; bilateral contracts; modeling; DPI2008-02154
AbstractThis paper develops a stochastic programming model that integrates 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 bilateral contract 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. The main contributions of this paper include: (a) a new model for the optimal bid function and matched energy for thermal and CC units, (b) a new and detailed mixed-integer formulation of the operation rules of the CC units and (c) the joint optimization of all the above-mentioned factors together with the BC duties. The model was tested with real data of market prices and programming units of a GenCo operating in the Spanish electricity market.
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DOI10.1007/s10479-011-0847-x
Preprinthttp://hdl.handle.net/2117/2282
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A Stochastic Programming Model for the Thermal Optimal Day-Ahead Bid Problem with Physical Futures Contracts

Publication TypeJournal Article
Year of Publication2011
AuthorsCristina Corchero; F.-Javier Heredia
Journal TitleComputers & Operations Research
Volume38
Issue11
Pages1501-1512
Start Page1501
Journal Date2011
PublisherElsevier
ISSN Number0305-0548
Key Wordsresearch; paper; stochastic programming; optimal bod; day-ahead market; MIBEL; DPI2008-02154; modeling
URLClick Here
DOI10.1016/j.cor.2011.01.008
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Optimal Day-Ahead Bidding in the MIBEL's Multimarket Energy Production System

Publication TypeProceedings Article
Year of Publication2010
AuthorsCristina Corchero; F.-Javier Heredia
Conference Name7th Conference on European Energy Market EEM10
Series TitleProceedings of the 7th Conference on European Energy Market EEM10
Volume1
Pagination1 - 6
Conference Start Date23/06/2010
PublisherIEEE
Conference LocationMadrid
EditorIEEE
ISBN Number978-1-4244-6838-6
Key Wordsresearch; DPI2008-02153; multimarket; MIBEL; stochastic programming; futures contracts; bilateral contracts; optimal bid; paper
AbstractA Generation Company (GenCo) can participate in the Iberian Electricity Market (MIBEL) through different mechanisms and pools: the bilateral contracts, the physical derivatives products at the Derivatives Market, the bids to the Day-Ahead Market, the Intraday Markets or the Ancillary Services Markets. From the short-term generation planning point of view, the most important problem to solve is the bidding strategy for the Day-Ahead Market (DAM) given that the 85% of the physical energy traded in Spain is negotiated in it, but this participation cannot be tackled independently of other subsequent markets.
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DOI10.1109/EEM.2010.5558714
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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 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 Date15-16/10/2009
Conference LocationBergamo, Italy
Type of Workinvited presentation
ISBN Number978-88-89555-09-05
Key Wordsresearch; hydro-thermal; futures; day-ahead; GAMS, CPLEX
AbstractWe consider a generation company operating in the liberalized electricity market, whose production system consists of hydro and thermal plants. Production is sold either directly to customers, by means of bilateral contracts, or on the spot market, where the electricity price is unknow until the market clearing process has taken place. Price risk may be hedged by financial tools provided by the Derivative Electricity Market. In this work futures contracts are considered, i.e. agreements to sell electricity in the future for a specified price. A Mixed Integer Linear Programming model is introduced for determining the unit commitment of thermal units and the dispatchment of available thermal units and hydro plants, aiming at maximizing profits. Numerical results on a case study are reported
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Optimal day-ahead bidding strategy in the MIBEL's multimarket energy production system

Publication TypeReport
Year of Publication2010
AuthorsCristina Corchero; F.-Javier Heredia
Pages6
Date07/2010
ReferenceResearch report DR 2010/**, Dept. of Statistics and Operations Research. E-Prints UPC, http://hdl.handle.net/2117/8390. Universitat Politècnica de Catalunya
Prepared forPublished by the IEEE at the proceedings of the 7th Conference on European Energy Market EEM10, Madrid, Spain
Key Wordsresearch; electricity markets; multimarkets; day-ahead market; intraday market; AGC market; stochastic programming
AbstractA Generation Company (GenCo) can participate in the Iberian Electricity Market (MIBEL) through different mechanisms and pools: the bilateral contracts, the physical derivatives products at the Derivatives Market, the bids to the Day-Ahead Market, the Intraday Markets or the Ancillary Services Markets. From the short-term generation planning point of view, the most important problem to solve is the bidding strategy for the Day-Ahead Market (DAM) given that the 85% of the physical energy traded in Spain is negotiated in it, but this participation cannot be tackled independently of other subsequent markets.
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Optimal day-ahead bidding strategy with futures and bilateral contracts. Scenario generation through factor models

Publication TypeConference Paper
Year of Publication2010
AuthorsCristina Corchero; F.-Javier Heredia; M.-Pilar Muñoz
Conference Name24th European Conference on Operational Research
Conference Date11-14/07/2010
Conference LocationLisboa
Type of WorkInvited Presentation
Key Wordsresearch; electrical markets; stochastic programming; forecasting
AbstractWe propose a stochastic programming model that gives the optimal bidding, bilateral (BC) and futures contracts (FC) nomination strategy for a price-taker generation company in the MIBEL. The objective of the study is to decide the optimal economic dispatch of the physical FC and BC among the thermal units, the optimal bidding at day-ahead market (DAM) abiding by the MIBEL rules and the optimal unit commitment that maximizes the expected profits from the DAM. For the uncertainty characterization, we apply the methodology of factors models to forecast market prices in a short-term horizon.
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