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...

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Autores:
Morgado Gómez, Kevin Steven
Rosero García, Javier
Tipo de recurso:
Article of journal
Fecha de publicación:
2022
Institución:
Universidad Tecnológica de Bolívar
Repositorio:
Repositorio Institucional UTB
Idioma:
eng
OAI Identifier:
oai:repositorio.utb.edu.co:20.500.12585/13500
Acceso en línea:
https://hdl.handle.net/20.500.12585/13500
https://doi.org/10.32397/tesea.vol3.n1.2
Palabra clave:
Asset Management
Health Index
Transformers
Modeling
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openAccess
License
Kevin Steven Morgado Gómez, Javier Rosero García - 2022
id UTB2_28ce2807463fb132b6b47160d2265a6f
oai_identifier_str oai:repositorio.utb.edu.co:20.500.12585/13500
network_acronym_str UTB2
network_name_str Repositorio Institucional UTB
repository_id_str
dc.title.spa.fl_str_mv Analysis of Asset Management Models for a Transformer Fleet in the National Laboratory of Smart Grids (LAB+i)
dc.title.translated.spa.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 Management
Health Index
Transformers
Modeling
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.eng.fl_str_mv Morgado Gómez, Kevin Steven
Rosero García, Javier
dc.subject.eng.fl_str_mv Asset Management
Health Index
Transformers
Modeling
topic Asset Management
Health Index
Transformers
Modeling
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 2022-03-23 00:00:00
2025-05-21T19:15:44Z
dc.date.available.none.fl_str_mv 2022-03-23 00:00:00
dc.date.issued.none.fl_str_mv 2022-03-23
dc.type.spa.fl_str_mv Artículo de revista
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.driver.eng.fl_str_mv info:eu-repo/semantics/article
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dc.type.local.eng.fl_str_mv Journal article
dc.type.content.eng.fl_str_mv Text
dc.type.version.eng.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12585/13500
dc.identifier.url.none.fl_str_mv https://doi.org/10.32397/tesea.vol3.n1.2
dc.identifier.doi.none.fl_str_mv 10.32397/tesea.vol3.n1.2
dc.identifier.eissn.none.fl_str_mv 2745-0120
url https://hdl.handle.net/20.500.12585/13500
https://doi.org/10.32397/tesea.vol3.n1.2
identifier_str_mv 10.32397/tesea.vol3.n1.2
2745-0120
dc.language.iso.eng.fl_str_mv eng
language eng
dc.relation.references.eng.fl_str_mv G. R. Steeves, “Transformer lifecycle: Power transformer asset management,” Transformers Magazine, vol. 3, no. 2, pp. 52–56, 2016. [2] A. Dunay, “Smart asset management: Risk based maintenance planning with fuzzy logic,” in 2015 3rd International Istanbul Smart Grid Congress and Fair, ICSG 2015, Institute of Electrical and Electronics Engineers Inc., 12 2015. [3] A. 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, 2017. [4] S. Ceferin, G. Janc, Z. Toros, T. Kastelic, and B. Prašnikar, “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. [5] D. Duckett, C. Arpino, and S. McNelly, “IEEE Guide for Loading Mineral-Oil-Immersed Transformers and Step-Voltage Regulators,” IEEE Std C57.91-2011 (Revision of IEEE Std C57.91-1995), pp. 1–123, 2012. [6] A. E. Abu-Elanien and M. M. Salama, “Asset management techniques for transformers,” Electric Power Systems Research, vol. 80, no. 4, pp. 456–464, 2010. [7] A. N. Jahromi, R. Piercy, S. Cress, J. R. Service, and W. Fan, “An approach to power transformer asset management using health index,” IEEE Electrical Insulation Magazine, vol. 25, no. 2, pp. 20–34, 2009. [8] A. F. Cerón, I. F. Orduña, G. Aponte, and A. A. Romero, “Panorama de la gestión de activos para transformadores de potencia,” Informacion Tecnologica, vol. 26, no. 3, pp. 99–110, 2015. [9] A. J. C. Trappey, C. V. Trappey, L. Ma, and J. C. M. Chang, “Intelligent engineering asset management system for power transformer maintenance decision supports under various operating conditions,” Computers & Industrial Engineering, vol. 2015, no. 84, pp. 3–11, 2015. [10] A. J. Patil, A. Singh, and R. K. Jarial, “A Novel Fuzzy Based Technique for Transformer Health Index Computation,” in 2019 6th IEEE International Conference on Advances in Computing, Communication and Control, ICAC3 2019, pp. 1–6, Institute of Electrical and Electronics Engineers Inc., 2019. [11] A. Alqudsi and A. El-Hag, “Application of machine learning in transformer health index prediction,” Energies, vol. 12, no. 14, pp. 1–13, 2019. [12] W. 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, 2016. [13] R. D. Medina, A. A. Romero, E. E. Mombello, and G. Rattá, “Assessing degradation of power transformer solid insulation considering thermal stress and moisture variation,” Electric Power Systems Research, vol. 151, pp. 1–11, 2017. [14] F. Scatiggio and M. Pompili, “Health index: The TERNA’s practical approach for transformers fleet management,” in 2013 IEEE Electrical Insulation Conference, EIC 2013, pp. 178–182, 2013. [15] X. 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, 2008. [16] P. Bohatyrewicz, J. Płowucha, and J. Subocz, “Condition assessment of power transformers based on health index value,” Applied Sciences (Switzerland), vol. 9, no. 22, pp. 1–11, 2019. [17] P. Sarajcev, D. Jakus, and J. Vasilj, “Optimal scheduling of power transformers preventive maintenance with Bayesian statistical learning and influence diagrams,” Journal of Cleaner Production, vol. 258, pp. 1–13, 2020. [18] 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 DLA 2014 - Conference Proceedings, vol. 2014-Octob, pp. 1–6, Institute of Electrical and Electronics Engineers Inc., 2014. [19] Icontec, “GTC 50:1997. Electrotecnia. Transformadores de distribución sumergidos en liquido refrigerante con 65◦c de calentamiento en los devanados. Guía de cargabilidad.,” 1997. [20] IEEE, “C57.140-2017 - IEEE Guide for Evaluation and Reconditioning of Liquid Immersed Power Transformers,” 2017.
dc.relation.ispartofjournal.eng.fl_str_mv Transactions on Energy Systems and Engineering Applications
dc.relation.citationvolume.eng.fl_str_mv 3
dc.relation.citationstartpage.none.fl_str_mv 7
dc.relation.citationendpage.none.fl_str_mv 12
dc.relation.bitstream.none.fl_str_mv https://revistas.utb.edu.co/tesea/article/download/463/362
dc.relation.citationedition.eng.fl_str_mv Núm. 1 , Año 2022 : Transactions on Energy Systems and Engineering Applications
dc.relation.citationissue.eng.fl_str_mv 1
dc.rights.eng.fl_str_mv Kevin Steven Morgado Gómez, Javier Rosero García - 2022
dc.rights.uri.eng.fl_str_mv https://creativecommons.org/licenses/by/4.0
dc.rights.accessrights.eng.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.creativecommons.eng.fl_str_mv This work is licensed under a Creative Commons Attribution 4.0 International License.
dc.rights.coar.eng.fl_str_mv http://purl.org/coar/access_right/c_abf2
rights_invalid_str_mv Kevin Steven Morgado Gómez, Javier Rosero García - 2022
https://creativecommons.org/licenses/by/4.0
This work is licensed under a Creative Commons Attribution 4.0 International License.
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.mimetype.eng.fl_str_mv application/pdf
dc.publisher.eng.fl_str_mv Universidad Tecnológica de Bolívar
dc.source.eng.fl_str_mv https://revistas.utb.edu.co/tesea/article/view/463
institution Universidad Tecnológica de Bolívar
repository.name.fl_str_mv Repositorio Digital Universidad Tecnológica de Bolívar
repository.mail.fl_str_mv bdigital@metabiblioteca.com
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spelling Morgado Gómez, Kevin StevenRosero García, Javier2022-03-23 00:00:002025-05-21T19:15:44Z2022-03-23 00:00:002022-03-23https://hdl.handle.net/20.500.12585/13500https://doi.org/10.32397/tesea.vol3.n1.210.32397/tesea.vol3.n1.22745-0120The 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.application/pdfengUniversidad Tecnológica de BolívarKevin Steven Morgado Gómez, Javier Rosero García - 2022https://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessThis work is licensed under a Creative Commons Attribution 4.0 International License.http://purl.org/coar/access_right/c_abf2https://revistas.utb.edu.co/tesea/article/view/463Asset ManagementHealth IndexTransformersModelingAnalysis of Asset Management Models for a Transformer Fleet in the National Laboratory of Smart Grids (LAB+i)Analysis of Asset Management Models for a Transformer Fleet in the National Laboratory of Smart Grids (LAB+i)Artículo de revistainfo:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Journal articleTextinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85G. R. Steeves, “Transformer lifecycle: Power transformer asset management,” Transformers Magazine, vol. 3, no. 2, pp. 52–56, 2016. [2] A. Dunay, “Smart asset management: Risk based maintenance planning with fuzzy logic,” in 2015 3rd International Istanbul Smart Grid Congress and Fair, ICSG 2015, Institute of Electrical and Electronics Engineers Inc., 12 2015. [3] A. 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, 2017. [4] S. Ceferin, G. Janc, Z. Toros, T. Kastelic, and B. Prašnikar, “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. [5] D. Duckett, C. Arpino, and S. McNelly, “IEEE Guide for Loading Mineral-Oil-Immersed Transformers and Step-Voltage Regulators,” IEEE Std C57.91-2011 (Revision of IEEE Std C57.91-1995), pp. 1–123, 2012. [6] A. E. Abu-Elanien and M. M. Salama, “Asset management techniques for transformers,” Electric Power Systems Research, vol. 80, no. 4, pp. 456–464, 2010. [7] A. N. Jahromi, R. Piercy, S. Cress, J. R. Service, and W. Fan, “An approach to power transformer asset management using health index,” IEEE Electrical Insulation Magazine, vol. 25, no. 2, pp. 20–34, 2009. [8] A. F. Cerón, I. F. Orduña, G. Aponte, and A. A. Romero, “Panorama de la gestión de activos para transformadores de potencia,” Informacion Tecnologica, vol. 26, no. 3, pp. 99–110, 2015. [9] A. J. C. Trappey, C. V. Trappey, L. Ma, and J. C. M. Chang, “Intelligent engineering asset management system for power transformer maintenance decision supports under various operating conditions,” Computers & Industrial Engineering, vol. 2015, no. 84, pp. 3–11, 2015. [10] A. J. Patil, A. Singh, and R. K. Jarial, “A Novel Fuzzy Based Technique for Transformer Health Index Computation,” in 2019 6th IEEE International Conference on Advances in Computing, Communication and Control, ICAC3 2019, pp. 1–6, Institute of Electrical and Electronics Engineers Inc., 2019. [11] A. Alqudsi and A. El-Hag, “Application of machine learning in transformer health index prediction,” Energies, vol. 12, no. 14, pp. 1–13, 2019. [12] W. 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, 2016. [13] R. D. Medina, A. A. Romero, E. E. Mombello, and G. Rattá, “Assessing degradation of power transformer solid insulation considering thermal stress and moisture variation,” Electric Power Systems Research, vol. 151, pp. 1–11, 2017. [14] F. Scatiggio and M. Pompili, “Health index: The TERNA’s practical approach for transformers fleet management,” in 2013 IEEE Electrical Insulation Conference, EIC 2013, pp. 178–182, 2013. [15] X. 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, 2008. [16] P. Bohatyrewicz, J. Płowucha, and J. Subocz, “Condition assessment of power transformers based on health index value,” Applied Sciences (Switzerland), vol. 9, no. 22, pp. 1–11, 2019. [17] P. Sarajcev, D. Jakus, and J. Vasilj, “Optimal scheduling of power transformers preventive maintenance with Bayesian statistical learning and influence diagrams,” Journal of Cleaner Production, vol. 258, pp. 1–13, 2020. [18] 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 DLA 2014 - Conference Proceedings, vol. 2014-Octob, pp. 1–6, Institute of Electrical and Electronics Engineers Inc., 2014. [19] Icontec, “GTC 50:1997. Electrotecnia. Transformadores de distribución sumergidos en liquido refrigerante con 65◦c de calentamiento en los devanados. Guía de cargabilidad.,” 1997. [20] IEEE, “C57.140-2017 - IEEE Guide for Evaluation and Reconditioning of Liquid Immersed Power Transformers,” 2017.Transactions on Energy Systems and Engineering Applications3712https://revistas.utb.edu.co/tesea/article/download/463/362Núm. 1 , Año 2022 : Transactions on Energy Systems and Engineering Applications120.500.12585/13500oai:repositorio.utb.edu.co:20.500.12585/135002025-05-21 14:15:44.993https://creativecommons.org/licenses/by/4.0Kevin Steven Morgado Gómez, Javier Rosero García - 2022metadata.onlyhttps://repositorio.utb.edu.coRepositorio Digital Universidad Tecnológica de Bolívarbdigital@metabiblioteca.com

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