Stochastic modeling to represent wind power generation and demand in electric power system based on real data
| Author | dc.contributor.author | Verdejo Fredes, Humberto | |
| Author | dc.contributor.author | Awerkin, Almendra | |
| Author | dc.contributor.author | Saavedra, Eugenio | |
| Author | dc.contributor.author | Kliemann, Wolfgang | |
| Author | dc.contributor.author | Vargas, Luis | |
| Admission date | dc.date.accessioned | 2016-12-19T15:49:40Z | |
| Available date | dc.date.available | 2016-12-19T15:49:40Z | |
| Publication date | dc.date.issued | 2016 | |
| Cita de ítem | dc.identifier.citation | Applied Energy. Volumen: 173 Páginas: 283-295 (2016) | es_ES |
| Identifier | dc.identifier.other | 10.1016/j.apenergy.2016.04.004 | |
| Identifier | dc.identifier.uri | https://repositorio.uchile.cl/handle/2250/141962 | |
| Abstract | dc.description.abstract | A methodology to model two types of random perturbation that affect the operation of electric power systems (EPS) are presented. The first uncertainty is wind power generation and is represented by a one-dimensional and by a multidimensional continuous stochastic process. The second one is power demand, and is modeled by using an hybrid structure based on harmonic regression and the Ornstein-Uhlenbeck (O-U) process. The stochastic models are applied to a real Chilean case, using real data for parametric estimation and validation models. (C) 2016 Elsevier Ltd. All rights reserved. | es_ES |
| Patrocinador | dc.description.sponsorship | Comision Nacional de Investigacion Cientifica y Tecnologica Chile | es_ES |
| Lenguage | dc.language.iso | en | es_ES |
| Publisher | dc.publisher | Elsevier | es_ES |
| Type of license | dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Chile | * |
| Link to License | dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/cl/ | * |
| Source | dc.source | Applied Energy | es_ES |
| Keywords | dc.subject | Estimation | es_ES |
| Keywords | dc.subject | Power systems | es_ES |
| Keywords | dc.subject | Stochastic systems | es_ES |
| Título | dc.title | Stochastic modeling to represent wind power generation and demand in electric power system based on real data | es_ES |
| Document type | dc.type | Artículo de revista | |
| Cataloguer | uchile.catalogador | C. R. B. | es_ES |
| Indexation | uchile.index | Artículo de publicación ISI | es_ES |
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Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Chile