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dc.contributor.author
Martinez, Maximiliano  
dc.contributor.author
Molina, Marcelo Gustavo  
dc.contributor.author
Mercado, Pedro Enrique  
dc.date.available
2018-11-08T14:45:44Z  
dc.date.issued
2017-12  
dc.identifier.citation
Martinez, Maximiliano; Molina, Marcelo Gustavo; Mercado, Pedro Enrique; Optimal sizing method of vanadium redox flow battery to provide load frequency control in power systems with intermittent renewable generation; Institution of Engineering and Technology; IET Renewable Power Generation; 11; 14; 12-2017; 1804-1811  
dc.identifier.issn
1752-1416  
dc.identifier.uri
http://hdl.handle.net/11336/63962  
dc.description.abstract
This study proposes a novel methodology for optimal sizing of a vanadium redox flow battery (VRFB) aiming at providing the load frequency control (LFC) of power system (PSs) with renewable generation, such as wind generation. This methodology utilises a new optimisation problem, where the optimal size of the VRFB is an endogenous result from the model of optimisation problem. To resolve the new optimisation problem, a hybrid optimisation model (HOM) is employed in order to calculate the optimal investment for the VRFB (optimal size) while taking into account both its impact on the PS costs and on the quality of the system frequency. Through stochastic optimisation, the HOM allows computing the variable operating costs and VRFB investment costs, considering the uncertainties associated to the PS. This stochastic optimisation utilises a new quasi-stationary simulations of the PS operation, which demands lower computing effort. To this aim, this study proposes a novel modelling approach of both the VRFB and the PS operation. Moreover, statistical indexes are proposed as new factor used in sizing the LFC operating reserve. The results show that the developed methodology allows evaluating with precision the stochastic characteristics of the PS.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Institution of Engineering and Technology  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/  
dc.subject
Flow Batteries  
dc.subject
Frequency Control  
dc.subject
Statistical Analysis  
dc.subject
Stochastic Programming  
dc.subject.classification
Ingeniería de Sistemas y Comunicaciones  
dc.subject.classification
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información  
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS  
dc.subject.classification
Ingeniería Eléctrica y Electrónica  
dc.subject.classification
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información  
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS  
dc.title
Optimal sizing method of vanadium redox flow battery to provide load frequency control in power systems with intermittent renewable generation  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2018-10-22T18:01:25Z  
dc.journal.volume
11  
dc.journal.number
14  
dc.journal.pagination
1804-1811  
dc.journal.pais
Reino Unido  
dc.journal.ciudad
Stevenage  
dc.description.fil
Fil: Martinez, Maximiliano. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina  
dc.description.fil
Fil: Molina, Marcelo Gustavo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina  
dc.description.fil
Fil: Mercado, Pedro Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina  
dc.journal.title
IET Renewable Power Generation  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/8120053  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://dx.doi.org/10.1049/iet-rpg.2016.0798