Stochastic modeling to represent wind power generation and demand in electric power system based on real data
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2016Metadata
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Verdejo Fredes, Humberto
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Stochastic modeling to represent wind power generation and demand in electric power system based on real data
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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.
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Comision Nacional de Investigacion Cientifica y Tecnologica Chile
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URI: https://repositorio.uchile.cl/handle/2250/141962
DOI: 10.1016/j.apenergy.2016.04.004
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Applied Energy. Volumen: 173 Páginas: 283-295 (2016)
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