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http://hdl.handle.net/11531/7667
Título : | Optimizing storage operations in medium- and long-term power system models |
Autor : | Wogrin, Sonja Galbally, David Reneses Guillén, Javier |
Fecha de publicación : | 1-jul-2016 |
Resumen : | In this paper, we propose a new methodology to formulate storage behavior in medium- and long-term power system models that use a load duration curve. Traditionally in such models, the chronological information among individual hours is lost; information that is necessary to adequately model the operation of a storage facility. Therefore, these models are not fully capable of optimizing the actual operation of storage units, and often use pre-determined data or some sort of peak-shaving algorithm. In a rapidly changing power system, the proper characterization of storage behavior and its optimization becomes an increasingly important issue. This paper proposes a methodology to tackle the shortcomings of existing models. In particular, we employ the so-called system states framework to recover some of the chronological information within the load duration curve. This allows us to introduce a novel formulation for storage in a system states model. In a case study, we show that our method can lead to computational time reductions of over 90 while accurately replicating hourly behavior of storage levels. |
Descripción : | Artículos en revistas |
URI : | https:doi.org10.1109TPWRS.2015.2471099 |
ISSN : | 0885-8950 |
Aparece en las colecciones: | Artículos |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
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IIT-15-129A.pdf | 1,62 MB | Adobe PDF | Visualizar/Abrir Request a copy |
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