Publication Type | Journal Article |
Year of Publication | 2012 |
Authors | F.-Javier Heredia; Marcos J. Rider; C. Corchero |
Journal Title | Annals of Operations Research |
Volume | 193 |
Issue | 1 |
Pages | 107-127 |
Start Page | 107 |
Journal Date | 2012 |
Publisher | Springer |
ISSN Number | 0254-5330 |
Key Words | research; paper; stochastic programming; day-ahead market; combined cycle; bilateral contracts; modeling; DPI2008-02154 |
Abstract | This 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. |
URL | Click Here |
DOI | 10.1007/s10479-011-0847-x |
Preprint | http://hdl.handle.net/2117/2282 |
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Publication Type | Journal Article |
Year of Publication | 2011 |
Authors | Cristina Corchero; F.-Javier Heredia |
Journal Title | Computers & Operations Research |
Volume | 38 |
Issue | 11 |
Pages | 1501-1512 |
Start Page | 1501 |
Journal Date | 2011 |
Publisher | Elsevier |
ISSN Number | 0305-0548 |
Key Words | research; paper; stochastic programming; optimal bod; day-ahead market; MIBEL; DPI2008-02154; modeling |
URL | Click Here |
DOI | 10.1016/j.cor.2011.01.008 |
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Publication Type | Proceedings Article |
Year of Publication | 2010 |
Authors | Cristina Corchero; F.-Javier Heredia |
Conference Name | 7th Conference on European Energy Market EEM10 |
Series Title | Proceedings of the 7th Conference on European Energy Market EEM10 |
Volume | 1 |
Pagination | 1 - 6 |
Conference Start Date | 23/06/2010 |
Publisher | IEEE |
Conference Location | Madrid |
Editor | IEEE |
ISBN Number | 978-1-4244-6838-6 |
Key Words | research; DPI2008-02153; multimarket; MIBEL; stochastic programming; futures contracts; bilateral contracts; optimal bid; paper |
Abstract | A 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. |
URL | Click Here |
DOI | 10.1109/EEM.2010.5558714 |
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Publication Type | Conference Paper |
Year of Publication | 2010 |
Authors | F.-Javier Heredia; Cristina Corchero; M.-Pilar Muñoz; Eugenio Mijangos |
Conference Name | Conference on Numerical Optimization and Applications in Engineering (NUMOPEN-2010) |
Conference Date | 13-15/10/2010 |
Conference Location | Centre de Recerca Matemàtica. UAB. Barcelona, Spain. |
Type of Work | Invited presentation |
Key Words | research; electricity markets; stochastic programming; perspective cuts; TSFA; DPI2008-02153 |
Abstract | The participation in national and international electricity markets has became a very complex decision making process. Electrical utilities participating in such liberalized market have to decide daily the operation, generation scheduling and optimal bid of each one of their generation units in several consecutives day-ahead markets. In the talk, we will describe the operation rules of the Iberian Electricity Market (MIBEL), how this operation can be mathematically modelled with the help of stochastic programming into large scale nonlinear integer problems and how these difficult optimization problems can be solved with specialised algorithms. Finally, the results found for several cases with real data of Spanish utilities and MIBEL market prices will be shown. |
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Publication Type | Conference Paper |
Year of Publication | 2010 |
Authors | Eugenio Mijangos; F-Javier Heredia; Cristina Corchero |
Conference Name | International Conference on Operations Research |
Conference Date | 01-03/09/2010 |
Conference Location | Zurich, Switzerland |
Type of Work | contributed presentation |
Key Words | research; perspective cuts; mixed nonlinear optimization; optimization; optimal bid; electricity market |
Abstract | The electric market regulation in Spain (MIBEL) establishes the rules for bilateral contracts in the day-ahead optimal bid problem. Our 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 optimal sale bids for the thermal units observing the MIBEL regulation. The uncertainty of the spot prices is represented through scenario sets. We solve this model as a deterministic MIQP problem by using perspective cuts to improve the performance of Branch and Cut. Numerical results are reported. |
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Publication Type | Report |
Year of Publication | 2010 |
Authors | Cristina Corchero; F.-Javier Heredia |
Pages | 6 |
Date | 07/2010 |
Reference | Research report DR 2010/**, Dept. of Statistics and Operations Research. E-Prints UPC, http://hdl.handle.net/2117/8390. Universitat Politècnica de Catalunya |
Prepared for | Published by the IEEE at the proceedings of the 7th Conference on European Energy Market EEM10, Madrid, Spain |
Key Words | research; electricity markets; multimarkets; day-ahead market; intraday market; AGC market; stochastic programming |
Abstract | A 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. |
URL | Click Here |
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Publication Type | Proceedings Article |
Year of Publication | 2009 |
Authors | Heredia, F.-Javier; Rider, Marcos.-J.; Corchero, C. |
Conference Name | 2009 Power Engineering Society General Meeting |
Pagination | 1-6 |
Conference Start Date | 26/07/2010 |
Publisher | IEEE |
Conference Location | Calgary |
ISSN Number | 1944-9925 |
ISBN Number | 978-1-4244-4241-6 |
Key Words | research; Electricity spot-market; bilateral contracts; combined cycle units; optimal bidding strategies; short-term electricity generation planning; stochastic programming; paper |
Abstract | This paper developed a stochastic programming model that integrated the most recent regulation rules of the Spanish peninsular system for bilateral contracts in the day-ahead 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. |
URL | Click Here |
DOI | 10.1109/PES.2009.5275680 |
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