Analysis of Asset Management Models for a Transformer Fleet in the National Laboratory of Smart Grids (LAB+i)
| dc.contributor.author | Morgado Gómez, Kevin Steven | eng |
| dc.contributor.author | Rosero García, Javier | eng |
| dc.date.accessioned | 2022-03-23 00:00:00 | |
| dc.date.accessioned | 2025-05-21T19:15:44Z | |
| dc.date.available | 2022-03-23 00:00:00 | |
| dc.date.issued | 2022-03-23 | |
| dc.description.abstract | 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. | eng |
| dc.format.mimetype | application/pdf | eng |
| dc.identifier.doi | 10.32397/tesea.vol3.n1.2 | |
| dc.identifier.eissn | 2745-0120 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12585/13500 | |
| dc.identifier.url | https://doi.org/10.32397/tesea.vol3.n1.2 | |
| dc.language.iso | eng | eng |
| dc.publisher | Universidad Tecnológica de Bolívar | eng |
| dc.relation.bitstream | https://revistas.utb.edu.co/tesea/article/download/463/362 | |
| dc.relation.citationedition | Núm. 1 , Año 2022 : Transactions on Energy Systems and Engineering Applications | eng |
| dc.relation.citationendpage | 12 | |
| dc.relation.citationissue | 1 | eng |
| dc.relation.citationstartpage | 7 | |
| dc.relation.citationvolume | 3 | eng |
| dc.relation.ispartofjournal | Transactions on Energy Systems and Engineering Applications | eng |
| dc.relation.references | 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. | eng |
| dc.rights | Kevin Steven Morgado Gómez, Javier Rosero García - 2022 | eng |
| dc.rights.accessrights | info:eu-repo/semantics/openAccess | eng |
| dc.rights.coar | http://purl.org/coar/access_right/c_abf2 | eng |
| dc.rights.creativecommons | This work is licensed under a Creative Commons Attribution 4.0 International License. | eng |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0 | eng |
| dc.source | https://revistas.utb.edu.co/tesea/article/view/463 | eng |
| dc.subject | Asset Management | eng |
| dc.subject | Health Index | eng |
| dc.subject | Transformers | eng |
| dc.subject | Modeling | eng |
| dc.title | Analysis of Asset Management Models for a Transformer Fleet in the National Laboratory of Smart Grids (LAB+i) | spa |
| dc.title.translated | Analysis of Asset Management Models for a Transformer Fleet in the National Laboratory of Smart Grids (LAB+i) | spa |
| dc.type | Artículo de revista | spa |
| dc.type.coar | http://purl.org/coar/resource_type/c_6501 | eng |
| dc.type.coarversion | http://purl.org/coar/version/c_970fb48d4fbd8a85 | eng |
| dc.type.content | Text | eng |
| dc.type.driver | info:eu-repo/semantics/article | eng |
| dc.type.local | Journal article | eng |
| dc.type.version | info:eu-repo/semantics/publishedVersion | eng |