Por favor, use este identificador para citar o enlazar este ítem: https://doi.org/10.1016/j.ress.2021.108291

Título: A decision theoretic framework for reliability-based optimal wind turbine selection
Fecha de publicación: may-2022
Editorial: Elsevier
Cita bibliográfica: Reliability Engineering and System Safety Volume 221, May 2022, 108291.
ISSN: Print: 0951-8320
Materias relacionadas: CDU::5 - Ciencias puras y naturales::51 - Matemáticas
Palabras clave: Capacity factor
Expected Energy not Supplied
Reliability
Sto- chastic dominance
Wind power
Resumen: The problem of choosing the optimal wind turbine for a specific site is of special importance in the design process of wind farm. Manifestly, the selection of the optimal wind turbine should depend on a certain criteria. In this paper, optimal wind turbine selection is studied in terms of the capacity factor of wind turbine generator and the Expected Energy not Supplied which is one of the most commonly used reliability indices for power systems. The latter one considers the load profile of the system and is suitable to compare different wind farm compositions while the former one completely ignores the load profile of the system. This paper presents general theoretical results that are helpful to compare performance of wind turbines and wind farms without data collection and further numerical assessment. In particular, the conditions on wind turbine characteristics and availability values of wind turbines are determined to compare wind turbines and wind farms in terms of the capacity factor and Expected Energy not Supplied.
Autor/es principal/es: Eryilmaz, S.
Navarro, J.
Facultad/Departamentos/Servicios: Facultades, Departamentos, Servicios y Escuelas::Departamentos de la UMU::Estadística e Investigación Operativa
Versión del editor: https://www.sciencedirect.com/science/article/pii/S0951832021007626?via%3Dihub
URI: http://hdl.handle.net/10201/137459
DOI: https://doi.org/10.1016/j.ress.2021.108291
Tipo de documento: info:eu-repo/semantics/article
Número páginas / Extensión: 35
Derechos: info:eu-repo/semantics/openAccess
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Descripción: © 2022. Elsevier. This document is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ This document is the accepted version of a published work that appeared in final form in Reliability Engineering & System Safety
Aparece en las colecciones:Artículos: Estadística e Investigación Operativa

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