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Stochastic Optimal Bid to Electricity Markets with Emission Risk Constraints

Thu, 11/27/2014 - 21:20 — admin
Publication TypeConference Paper
Year of Publication2014
AuthorsF.-Javier Heredia; Julián Cifuentes; Cristina Corchero
Conference NameIFORS2014: 20th Conference of the International Federation of Operational Research Societies
Conference Date13-18/07/2014
Conference LocationBarcelona
Type of WorkInvited presentation
Key Wordsresearch; emission limits; risk; stochastic programming; day-ahead electricity market; combined cycle units
AbstractThis work allows investigating the influence of the emission reduction plan, and the incorporation of the derivatives medium-term commitments in the optimal generation bidding strategy to the day-ahead electricity market. Two different technologies have been considered: the coal thermal units, high-emission technology, and the combined cycle gas turbine units, low-emission technology. The Iberian Electricity Market (MIBEL) and the Spanish National Emission Reduction Plan (NERP) defines the environmental framework to deal with by the day-ahead market bidding strategies. To address emission limitations, some of the standard risk management methodologies developed for financial markets, such as Value-at-Risk (VaR) and Conditional Valueat- Risk (CVaR), have been extended giving rise to the new concept of Conditional Emission at Risk (CEaR). The economic implications for a GenCo of including the environmental restrictions of this National Plan are analyzed, and the effect of the NERP in the expected profits and optimal generation bid are analyzed.
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A stochastic programming model for the tertiary control of microgrids

Thu, 11/27/2014 - 16:48 — admin
Publication TypeTesis de Grau i Màster // BSc and MSc Thesis
Year of Publication2014
AuthorsLeire Citores
DirectorF.-Javier Heredia, Cristina Corchero
Tipus de tesiMSc Thesis
TitulacióMaster in Statistics and Operations research
CentreFaculty of Mathematics and Statistics
Data defensa27/06/2014
Nota // mark10 MH (A with Honours)
Key Wordsresearch; teaching; microgrids, stochastic programming; scenario generation; wind generation; day-ahead electricity market; imbalances; MSc Thesis
AbstractIn this thesis a scenario-based two-stage stochastic programming model is proposed to solve a microgrid's tertiary control optimization problem taking into account some renewable energy resource s uncertainty as well uncertain energy deviation prices in the electricity market. Scenario generation methods for wind speed realizations are also studied. Results show that the introduction of stochastic programming represents an improvement over a deterministic model.
DOI / handlehttp://hdl.handle.net/2099.1/23235
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Energy Management System para una microrred domestica con participación en los servicios auxiliares de red

Thu, 11/27/2014 - 16:32 — admin
Publication TypeTesis de Grau i Màster // BSc and MSc Thesis
Year of Publication2014
AuthorsIrune Etxarri Urtasun
DirectorF.-Javier Heredia, Cristina Corchero
Tipus de tesiMSc Thesis
TitulacióMaster in Statistics and Operations Reseafrch
CentreFaculty of Mathematics and Statistics
Data defensa27/06/2014
Nota // mark**
Key Wordsteaching; research; microgrids; stochastic programming; electricity market; secondary reserve; MSc Thesis
AbstractEn este proyecto se ha propuesto un modelo estocástico de dos etapas para la gestión de energía en una microrred doméstica, introduciendo la participación en el mercado de banda de regulación. El objetivo del modelo es determinar la potencia que se oferta al mercado diario, teniendo en cuenta la participación en el mercado de banda de regulación. Se ha introducido estocasticidad en los precios de este mercado y en los precios y probabilidades del requerimiento a subir y a bajar de la energía de regulación secundaria. Se han comparado los beneficios de la microrred en caso de participar o no en el mercado de banda de regulación, y se ha visto que la participación en dicho mercado produce grandes beneficios para sus usuarios.
DOI / handlehttp://hdl.handle.net/2099.1/23233
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New national-funded research project

Sat, 07/19/2014 - 12:10 — admin

Wind farmThe research project Forecasting and optimization of wind generation in energy markets (FOWGEM) has been accepted for granting by the Spanish's National Program of R+D+i for the Challenges of the Society. This is a project coordinated by the Universitat Politècnica de Catalunya (the project leaders are prof. Ma. Pilar Muñoz and prof. F.-Javier Heredia) in collaboration with the Universidad Pontificia de Comillas (where the leader is leader prof. Andrés Ramos). Besides these two universities, several other universities and electrical utilities from Spain and abroad participate in the project: 

  • Universities: Universitat Autònoma de Barcelona (Catalonia, Spain); Euskal Herriko Unibersitatea (Basc Country, Spain); Universidade Paulista Júlia de Mesquita Filho (Brasil); North Carolina State University (USA).
  • Electrical Utilities and research centers: Iberdrola, Gas Natural - Fenosa, Catalonia Institute for Energy Research
Project FOWGEM aims at aplying a global approach to the problem of the optimal integration of the wind-enery generation of a generation company in the wholesale electricity market through the combination of statistical forecasting models, mathematical programming models for electricity markets and advanced large-scale optimization algorithms.
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