A stochastic programming model for the tertiary control of microgrids
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| Název: | A stochastic programming model for the tertiary control of microgrids |
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| Autoři: | Citores Martinez, Leire |
| Přispěvatelé: | Heredia, F.-Javier (Francisco Javier), Corchero García, Cristina |
| Zdroj: | Recercat. Dipósit de la Recerca de Catalunya instname UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) |
| Informace o vydavateli: | Universitat Politècnica de Catalunya, 2014. |
| Rok vydání: | 2014 |
| Témata: | Classificació AMS::90 Operations research, Energy system optimization, Programming (Mathematics), Microgrid, mathematical programming::90C Mathematical programming, Programació (Matemàtica), Àrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa::Optimització, Stochastic programming, 90 Operations research, mathematical programming::90C Mathematical programming [Classificació AMS], Classificació AMS::90 Operations research, mathematical programming::90C Mathematical programming, Matemàtiques i estadística::Investigació operativa::Optimització [Àrees temàtiques de la UPC], Scenario reduction |
| Popis: | 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. |
| Druh dokumentu: | Master thesis |
| Popis souboru: | application/pdf |
| Přístupová URL adresa: | http://hdl.handle.net/2099.1/23235 https://hdl.handle.net/2099.1/23235 |
| Přístupové číslo: | edsair.dedup.wf.002..d84b1825d5c484789a6be7dc4e537f8c |
| Databáze: | OpenAIRE |
Nájsť tento článok vo Web of Science | Abstrakt: | 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. |
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