terciary control
Thu, 09/03/2015 - 10:25 — admin
Wed, 06/24/2015 - 13:19 — admin
Publication Type | Conference Paper |
Year of Publication | 2015 |
Authors | Leire Citores; Cristina Corchero; F.-Javier Heredia |
Conference Name | 12th International Conference on the European Energy Market |
Conference Date | 19-22/05/2015 |
Conference Location | Lisbon, Portugal |
Type of Work | contributed presentation |
Key Words | research; MTM2013-48462-C2-1; microgrid; stochastic programming; scenario generation; wind power |
Abstract | In this work 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 as 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 a significant improvement over a deterministic model. |
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Thu, 11/27/2014 - 16:48 — admin
Publication Type | Tesis de Grau i Màster // BSc and MSc Thesis |
Year of Publication | 2014 |
Authors | Leire Citores |
Director | F.-Javier Heredia, Cristina Corchero |
Tipus de tesi | MSc Thesis |
Titulació | Master in Statistics and Operations research |
Centre | Faculty of Mathematics and Statistics |
Data defensa | 27/06/2014 |
Nota // mark | 10 MH (A with Honours) |
Key Words | research; teaching; microgrids, stochastic programming; scenario generation; wind generation; day-ahead electricity market; imbalances; MSc Thesis |
Abstract | In 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 / handle | http://hdl.handle.net/2099.1/23235 |
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