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A mixed-integer stochastic programming model for the day-ahead and futures energy markets coordination

Sat, 09/22/2007 - 12:55 — admin
Publication TypeConference Paper
Year of Publication2007
AuthorsCorchero, C.; Heredia, F. J.
Conference NameEURO XXII: 2nd European Conference on Operational Reserach
Conference Date08/07/2007
PublisherThe Association of European Operational Research Societies
Conference LocationPrague, Czech Republic
Type of WorkOral presentacion
Key Wordsstochastic programming; electricity markets; day-ahead market; future contracts; research
AbstractThe participation in spot-market and in financial markets has traditionally been studied independently but there are some evidences that indicate it could be interesting a joint approach. We propose a methodology based on stochastic mixed-integer programming to coordinate the day-ahead market and the physical futures contracts. It gives the optimal bid for the spot-market as long as the simultaneous optimization for power planning production and day-ahead market bidding for the thermal units of a price-taker generation company. Implementation details and some first computational experiences for small real cases are presented.
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Optimum Short-Term Hydrothermal Schedulling with Spinning Reserve through Network Flows

Mon, 09/17/2007 - 18:34 — admin
Publication TypeJournal Article
Year of Publication1995
AuthorsHeredia, F. J.; Nabona, N.
Journal TitleIEEE Trans. on Power Systems
Volume10
Issue3
Pages10
Start Page1642
PublisherThe Institue of Electrical and Electronic Engineering
ISSN Number0885-8950
Key Wordsnonlinear network flows; side constraints; power systems; short-term hydrothermal OPF; spinning reserve; research; paper
AbstractOptimizing the thermal production of electricity in the short term in an integrated power system when a thermal unit commitment has been decided means coordinating hydro and thermal generation in order to obtain the minimum thermal generation costs over the time period under study. Fundamental constraints to be satisfied are the covering of each hourly load and satisfaction of spinning reserve requirements and transmission capacity limits. A nonlinear network flow model with linear side constraints with no decomposition into hydro and thermal subproblems was used to solve the hydrothermal scheduling. Hydrogeneration is linearized with respect to network variables and a novel thermal generation and transmission network is introduced. Computational results are reported
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DOIhttp://dx.doi.org/10.1109/59.466476
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