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dc.contributor.author
Zaldivar Sanchez, Diego Armando
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dc.contributor.author
Romero Quete, Andrés Arturo
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dc.contributor.author
Rivera, Sergio R.
dc.date.available
2022-11-25T16:07:16Z
dc.date.issued
2021-10
dc.identifier.citation
Zaldivar Sanchez, Diego Armando; Romero Quete, Andrés Arturo; Rivera, Sergio R.; Risk assessment algorithm for power transformer fleets based on condition and strategic importance; Multidisciplinary Digital Publishing Institute; Algorithms; 14; 11; 10-2021; 1-13
dc.identifier.uri
http://hdl.handle.net/11336/179031
dc.description.abstract
In every electric power system, power transformers (PT) play a critical role. Under ideal circumstances, PT should receive the utmost care to maintain the highest operative condition during their lifetime. Through the years, different approaches have been developed to assess the condition and the inherent risk during the operation of PT. However, most proposed methodologies tend to analyze PT as individuals and not as a fleet. A fleet assessment helps the asset manager make sound decisions regarding the maintenance scheduling for groups of PT with similar conditions. This paper proposes a new methodology to assess the risk of PT fleets, considering the technical condition and the strategic importance of the units. First, the state of the units was evaluated using a health index (HI) with a fuzzy logic algorithm. Then, the strategic importance of each unit was assessed using a weighting technique to obtain the importance index (II). Finally, the analyzed units with similar HI and II were arranged into a set of clusters using the k-means clustering technique. A fleet of 19 PTs was used to validate the proposed method. The obtained results are also provided to demonstrate the viability and feasibility of the assessment model.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Multidisciplinary Digital Publishing Institute
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/
dc.subject
risk assessment
dc.subject
health index
dc.subject
power transformers
dc.subject
fuzzy logic
dc.subject
importance index
dc.subject.classification
Ingeniería Eléctrica y Electrónica
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dc.subject.classification
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información
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dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
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dc.title
Risk assessment algorithm for power transformer fleets based on condition and strategic importance
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2022-10-20T14:08:06Z
dc.identifier.eissn
1999-4893
dc.journal.volume
14
dc.journal.number
11
dc.journal.pagination
1-13
dc.journal.pais
Suiza
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dc.description.fil
Fil: Zaldivar Sanchez, Diego Armando. 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: Romero Quete, Andrés Arturo. 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: Rivera, Sergio R.. Universidad Nacional de Colombia; Colombia
dc.journal.title
Algorithms
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/1999-4893/14/11/319
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.3390/a14110319
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