Analysis of asset management models for a transformer fleet in the national laboratory of smart grids (LAB+i)

The study of the degradation of power transformers in the electrical network has become a subject of relevant analysis by network operators and companies, associated with the probability of failures and operation quality. For this reason this paper firstly presents the classification of a set of 12...

Full description

Autores:
Morgado Gómez, Kevin Steven
Rosero García, Javier
Tipo de recurso:
Fecha de publicación:
2022
Institución:
Universidad Tecnológica de Bolívar
Repositorio:
Repositorio Institucional UTB
Idioma:
eng
OAI Identifier:
oai:repositorio.utb.edu.co:20.500.12585/10684
Acceso en línea:
https://hdl.handle.net/20.500.12585/10684
https://doi.org/10.32397/tesea.vol3.n1.2
Palabra clave:
Asset Managemen
Health Index
Transformers
Modeling
LEMB
Rights
openAccess
License
http://creativecommons.org/licenses/by/4.0/
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dc.title.es_CO.fl_str_mv Analysis of asset management models for a transformer fleet in the national laboratory of smart grids (LAB+i)
title Analysis of asset management models for a transformer fleet in the national laboratory of smart grids (LAB+i)
spellingShingle Analysis of asset management models for a transformer fleet in the national laboratory of smart grids (LAB+i)
Asset Managemen
Health Index
Transformers
Modeling
LEMB
title_short Analysis of asset management models for a transformer fleet in the national laboratory of smart grids (LAB+i)
title_full Analysis of asset management models for a transformer fleet in the national laboratory of smart grids (LAB+i)
title_fullStr Analysis of asset management models for a transformer fleet in the national laboratory of smart grids (LAB+i)
title_full_unstemmed Analysis of asset management models for a transformer fleet in the national laboratory of smart grids (LAB+i)
title_sort Analysis of asset management models for a transformer fleet in the national laboratory of smart grids (LAB+i)
dc.creator.fl_str_mv Morgado Gómez, Kevin Steven
Rosero García, Javier
dc.contributor.author.none.fl_str_mv Morgado Gómez, Kevin Steven
Rosero García, Javier
dc.subject.keywords.es_CO.fl_str_mv Asset Managemen
Health Index
Transformers
Modeling
topic Asset Managemen
Health Index
Transformers
Modeling
LEMB
dc.subject.armarc.none.fl_str_mv LEMB
description The study of the degradation of power transformers in the electrical network has become a subject of relevant analysis by network operators and companies, associated with the probability of failures and operation quality. For this reason this paper firstly presents the classification of a set of 12 Asset Management models related to power transformers monitoring and, then, the application of three of them in three substations of the National Laboratory of Smart Grids (LAB+i) located at Bogot´a Campus of the Universidad Nacional de Colombia. As a result, the main challenges were identified concerning the Asset Management application in transformer fleets related to data availability and precision. Finally, it was identified that the development of an Asset Management model that uses non-invasive real-time measurements is needed for continuous monitoring of power systems and diagnosis.
publishDate 2022
dc.date.accessioned.none.fl_str_mv 2022-04-27T21:13:01Z
dc.date.available.none.fl_str_mv 2022-04-27T21:13:01Z
dc.date.issued.none.fl_str_mv 2022-03-23
dc.date.submitted.none.fl_str_mv 2022-04-22
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.driver.es_CO.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.citation.es_CO.fl_str_mv Morgado Gómez, K., & Rosero García, J. (2022). Analysis of Asset Management Models for a Transformer Fleet in the National Laboratory of Smart Grids (LAB+i). Transactions on Energy Systems and Engineering Applications, 3(1), 7-12. Retrieved from https://revistas.utb.edu.co/index.php/tesea/article/view/463
dc.identifier.issn.none.fl_str_mv 2745-0120
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12585/10684
dc.identifier.doi.none.fl_str_mv https://doi.org/10.32397/tesea.vol3.n1.2
dc.identifier.instname.es_CO.fl_str_mv Universidad Tecnológica de Bolívar
dc.identifier.reponame.es_CO.fl_str_mv Repositorio Universidad Tecnológica de Bolívar
identifier_str_mv Morgado Gómez, K., & Rosero García, J. (2022). Analysis of Asset Management Models for a Transformer Fleet in the National Laboratory of Smart Grids (LAB+i). Transactions on Energy Systems and Engineering Applications, 3(1), 7-12. Retrieved from https://revistas.utb.edu.co/index.php/tesea/article/view/463
2745-0120
Universidad Tecnológica de Bolívar
Repositorio Universidad Tecnológica de Bolívar
url https://hdl.handle.net/20.500.12585/10684
https://doi.org/10.32397/tesea.vol3.n1.2
dc.language.iso.es_CO.fl_str_mv eng
language eng
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.uri.*.fl_str_mv http://creativecommons.org/licenses/by/4.0/
dc.rights.accessRights.es_CO.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.cc.*.fl_str_mv Atribución 4.0 Internacional
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
Atribución 4.0 Internacional
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.extent.none.fl_str_mv 6 páginas
dc.format.mimetype.es_CO.fl_str_mv application/pdf
dc.publisher.place.es_CO.fl_str_mv Cartagena de Indias
dc.publisher.sede.es_CO.fl_str_mv Campus Tecnológico
dc.publisher.discipline.es_CO.fl_str_mv Ingeniería Eléctrica
dc.source.es_CO.fl_str_mv Transaction on energy systems and engineering applications, vol. 3 NO. 1, 7-12
institution Universidad Tecnológica de Bolívar
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spelling Morgado Gómez, Kevin Steven62662f33-ca3f-4b81-b7a3-a48f5b9318b8Rosero García, Javier0c0c8e6a-69bd-48ab-83d8-95561318328d2022-04-27T21:13:01Z2022-04-27T21:13:01Z2022-03-232022-04-22Morgado Gómez, K., & Rosero García, J. (2022). Analysis of Asset Management Models for a Transformer Fleet in the National Laboratory of Smart Grids (LAB+i). Transactions on Energy Systems and Engineering Applications, 3(1), 7-12. Retrieved from https://revistas.utb.edu.co/index.php/tesea/article/view/4632745-0120https://hdl.handle.net/20.500.12585/10684https://doi.org/10.32397/tesea.vol3.n1.2Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarThe study of the degradation of power transformers in the electrical network has become a subject of relevant analysis by network operators and companies, associated with the probability of failures and operation quality. For this reason this paper firstly presents the classification of a set of 12 Asset Management models related to power transformers monitoring and, then, the application of three of them in three substations of the National Laboratory of Smart Grids (LAB+i) located at Bogot´a Campus of the Universidad Nacional de Colombia. As a result, the main challenges were identified concerning the Asset Management application in transformer fleets related to data availability and precision. Finally, it was identified that the development of an Asset Management model that uses non-invasive real-time measurements is needed for continuous monitoring of power systems and diagnosis.6 páginasapplication/pdfenghttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessAtribución 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf2Transaction on energy systems and engineering applications, vol. 3 NO. 1, 7-12Analysis of asset management models for a transformer fleet in the national laboratory of smart grids (LAB+i)info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Asset ManagemenHealth IndexTransformersModelingLEMBCartagena de IndiasCampus TecnológicoIngeniería EléctricaInvestigadoresG. R. Steeves, “Transformer lifecycle: Power transformer asset manage-ment,”Transformers Magazine, vol. 3, no. 2, pp. 52–56, 2016.A. Dunay, “Smart asset management: Risk based maintenance planningwith fuzzy logic,” in 2015 3rd International Istanbul Smart GridCongress and Fair, ICSG 2015, Institute of Electrical and ElectronicsEngineers Inc., 12 2015A. A. Romero-Quete, H. D. Gómez, J. D. Molina, and G. Moreno, “Método práctico para la evaluación de riesgo en parques de transformadores de potencia, ”DYNA (Colombia), vol. 84, no. 200, pp. 11–18,2017S. Ceferin, G. Janc, Z. Toros, T. Kastelic, and B. Prasnikar, “Power transformer monitoring systems for better asset management,” in CIRED- Open Access Proceedings Journal, vol. 1, pp. 395–399, Institution of Engineering and Technology, 2017.D. Duckett, C. Arpino, and S. McNelly, “IEEE Guide for Load-ing Mineral-Oil-Immersed Transformers and Step-Voltage Regulators,”IEEE Std C57.91-2011 (Revision of IEEE Std C57.91-1995), pp. 1–123,2012A. E. Abu-Elanien and M. M. Salama, “Asset management techniquesfor transformers,”Electric Power Systems Research, vol. 80, no. 4,pp. 456–464, 2010A. N. Jahromi, R. Piercy, S. Cress, J. R. Service, and W. Fan, “Anapproach to power transformer asset management using health index,”IEEE Electrical Insulation Magazine, vol. 25, no. 2, pp. 20–34, 2009A. F. Cerón, I. F. Orduña, G. Aponte, and A. A. Romero, “Panorama de la gestión de activos para transformadores de potencia, ”Información Tecnológica, vol. 26, no. 3, pp. 99–110, 2015.A. J. C. Trappey, C. V. Trappey, L. Ma, and J. C. M. Chang, “Intelligentengineering asset management system for power transformer mainte-nance decision supports under various operating conditions,”Computers & Industrial Engineering, vol. 2015, no. 84, pp. 3–11, 2015.A. J. Patil, A. Singh, and R. K. Jarial, “A Novel Fuzzy Based Techniquefor Transformer Health Index Computation,” in2019 6th IEEE International Conference on Advances in Computing, Communication and Control, ICAC3 2019, pp. 1–6, Institute of Electrical and Electronics Engineers Inc., 2019.A. Alqudsi and A. El-Hag, “Application of machine learning in trans-former health index prediction,”Energies, vol. 12, no. 14, pp. 1–13,2019W. Zuo, H. Yuan, Y. Shang, Y. Liu, and T. Chen, “Calculation of a Health Index of Oil-Paper Transformers Insulation with Binary Logistic Regression,”Mathematical Problems in Engineering, vol. 2016, pp. 1–9,2016R. D. Medina, A. A. Romero, E. E. Mombello, and G. Rattá, “As-sessing degradation of power transformer solid insulation considering thermal stress and moisture variation,”Electric Power Systems Research, vol. 151, pp. 1–11, 2017F. Scatiggio and M. Pompili, “Health index: The TERNA’s practical approach for transformers fleet management,” in2013 IEEE Electrical Insulation Conference, EIC 2013, pp. 178–182, 2013X. Zhang and E. Gockenbach, “Asset-management of transformers based on condition monitoring and standard diagnosis, ”IEEE Electrical Insulation Magazine, vol. 24, no. 4, pp. 26–40, 2008P. Bohatyrewicz, J. Płowucha, and J. Subocz, “Condition assessmentof power transformers based on health index value,”Applied Sciences (Switzerland), vol. 9, no. 22, pp. 1–11, 2019P. Sarajcev, D. Jakus, and J. Vasilj, “Optimal scheduling of power transformers preventive maintenance with Bayesian statistical learnin gand influence diagrams,”Journal of Cleaner Production, vol. 258, pp. 1–13, 2020.S. Tellez, D. Alvarez, W. Montano, C. Vargas, R. Cespedes, E. Parra,and J. Rosero, “National Laboratory of Smart Grids (LAB+i) at the National University of Colombia-Bogotá Campus,” in 2014 IEEE PES Transmission and Distribution Conference and Exposition, PES T and D-LA 2014 - Conference Proceedings, vol. 2014-Octob, pp. 1–6, Instituteof Electrical and Electronics Engineers Inc., 2014Icontec, “GTC 50:1997. Electrotecnia. Transformadores de distribución sumergidos en liquido refrigerante con 65◦c de calentamiento en los devanados. 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