Degradación térmica de los sistemas de aislamiento de transformadores
fotografías, graficas, ilustraciones, tablas
- Autores:
-
Soto Marín, Oscar Julián
- Tipo de recurso:
- Doctoral thesis
- Fecha de publicación:
- 2022
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/83084
- Palabra clave:
- 620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingeniería
Redes eléctricas
Transformadores eléctricos
Envejecimiento acelerado
Ecuación de Arrhenius
Diagnóstico del transformador
Transformador inmerso en aceite
Transformadores de media frecuencia
Accelerated aging
Arrhenius equation
Transformer diagnosis
Oil immersed transformer
Medium frequency transformers
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional
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dc.title.spa.fl_str_mv |
Degradación térmica de los sistemas de aislamiento de transformadores |
dc.title.translated.eng.fl_str_mv |
Thermal degradation of transformer insulation systems |
title |
Degradación térmica de los sistemas de aislamiento de transformadores |
spellingShingle |
Degradación térmica de los sistemas de aislamiento de transformadores 620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingeniería Redes eléctricas Transformadores eléctricos Envejecimiento acelerado Ecuación de Arrhenius Diagnóstico del transformador Transformador inmerso en aceite Transformadores de media frecuencia Accelerated aging Arrhenius equation Transformer diagnosis Oil immersed transformer Medium frequency transformers |
title_short |
Degradación térmica de los sistemas de aislamiento de transformadores |
title_full |
Degradación térmica de los sistemas de aislamiento de transformadores |
title_fullStr |
Degradación térmica de los sistemas de aislamiento de transformadores |
title_full_unstemmed |
Degradación térmica de los sistemas de aislamiento de transformadores |
title_sort |
Degradación térmica de los sistemas de aislamiento de transformadores |
dc.creator.fl_str_mv |
Soto Marín, Oscar Julián |
dc.contributor.advisor.none.fl_str_mv |
Cano Plata, Eduardo Antonio Ustariz Farfan, Armando Jaime |
dc.contributor.author.none.fl_str_mv |
Soto Marín, Oscar Julián |
dc.contributor.researchgroup.spa.fl_str_mv |
Redes de Distribución y Potencia Gredyp |
dc.subject.ddc.spa.fl_str_mv |
620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingeniería |
topic |
620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingeniería Redes eléctricas Transformadores eléctricos Envejecimiento acelerado Ecuación de Arrhenius Diagnóstico del transformador Transformador inmerso en aceite Transformadores de media frecuencia Accelerated aging Arrhenius equation Transformer diagnosis Oil immersed transformer Medium frequency transformers |
dc.subject.lemb.spa.fl_str_mv |
Redes eléctricas Transformadores eléctricos |
dc.subject.proposal.spa.fl_str_mv |
Envejecimiento acelerado Ecuación de Arrhenius Diagnóstico del transformador Transformador inmerso en aceite Transformadores de media frecuencia |
dc.subject.proposal.eng.fl_str_mv |
Accelerated aging Arrhenius equation Transformer diagnosis Oil immersed transformer Medium frequency transformers |
description |
fotografías, graficas, ilustraciones, tablas |
publishDate |
2022 |
dc.date.issued.none.fl_str_mv |
2022 |
dc.date.accessioned.none.fl_str_mv |
2023-01-24T14:14:08Z |
dc.date.available.none.fl_str_mv |
2023-01-24T14:14:08Z |
dc.type.spa.fl_str_mv |
Trabajo de grado - Doctorado |
dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/doctoralThesis |
dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/acceptedVersion |
dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_db06 |
dc.type.content.spa.fl_str_mv |
Image Text |
format |
http://purl.org/coar/resource_type/c_db06 |
status_str |
acceptedVersion |
dc.identifier.uri.none.fl_str_mv |
https://repositorio.unal.edu.co/handle/unal/83084 |
dc.identifier.instname.spa.fl_str_mv |
Universidad Nacional de Colombia |
dc.identifier.reponame.spa.fl_str_mv |
Repositorio Institucional Universidad Nacional de Colombia |
dc.identifier.repourl.spa.fl_str_mv |
https://repositorio.unal.edu.co/ |
url |
https://repositorio.unal.edu.co/handle/unal/83084 https://repositorio.unal.edu.co/ |
identifier_str_mv |
Universidad Nacional de Colombia Repositorio Institucional Universidad Nacional de Colombia |
dc.language.iso.spa.fl_str_mv |
spa |
language |
spa |
dc.relation.references.spa.fl_str_mv |
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US Department of the Interior Bureau of Reclamation. Denver, Colorado, USA [13]. Smith J.M., Van Ness, H.C., Abbott, M.M., (2001). Introduction to chemical engineering thermodynamics, McGraw-Hill Education. [14]. Dahm, K. D., & Visco, D. P. (2014). Fundamentals of Chemical Engineering Thermodynamics. Cengage Learning. [15]. Koretsky, M. D. (2012). Engineering and chemical thermodynamics. John Wiley & Sons. [16]. Halstead, W. D. (1973). A thermodynamic assessment of the formation of gaseous hydrocarbons in faulty transformers. Journal of the Institute of Petroleum, 59(569), 239-41. [17]. Transformers Committee. (2008). Guide for the Interpretation of Gases Generated in Oil-Immersed Transformers; IEEE Std C57. 104. IEEE: New York, NY, USA. [18]. International Electrotechnical Commission. (1999). Mineral oil-impregnated electrical equipment in service—guide to the interpretation of dissolved and free gases analysis. International Standard IEC, 60599. [19]. Shirai, M., Shimoji, S., & Ishii, T. (1977). Thermodynamic study on the thermal decomposition of insulating oil. IEEE Transactions on Electrical Insulation, (4), 272-280. [20]. Dornenburg, E., & Strittmatter, W. (1974). Monitoring oil-cooled transformers by gas-analysis. Brown Boveri Review, 61(5), 238-247. [21]. Rogers, R. R. (1978). IEEE and IEC codes to interpret incipient faults in transformers, using gas in oil analysis. IEEE transactions on electrical insulation, (5), 349-354. [22]. Sun, H. C., Huang, Y. C., & Huang, C. M. (2012). A review of dissolved gas analysis in power transformers. Energy Procedia, 14, 1220-1225. [23]. Faiz, J., & Soleimani, M. (2017). Dissolved gas analysis evaluation in electric power transformers using conventional methods a review. IEEE Transactions on Dielectrics and Electrical Insulation, 24(2), 1239-1248. [24]. Duval, M. (1989). Dissolved gas analysis: It can save your transformer. IEEE electrical insulation magazine, 5(6), 22-27. [25]. Duval, M. (2008). The Duval triangle for load tap changers, non-mineral oils and low temperature faults in transformers. IEEE Electrical Insulation Magazine, 24(6), 22-29. [26]. Duval, M. (2002). A review of faults detectable by gas-in-oil analysis in transformers. IEEE electrical Insulation magazine, 18(3), 8-17. [27]. Duval, M., & DePabla, A. (2001). Interpretation of gas-in-oil analysis using new IEC publication 60599 and IEC TC 10 databases. IEEE Electrical Insulation Magazine, 17(2), 31-41. [28]. Duval, M., Hoehlein, I., Scatiggio, F., Cyr, M., Grisaru, M., Frotscher, R., ... & Westlin, L. (2010). DGA in Non-Mineral Oils and Load Tap Changers and Improved DGA Diagnosis Criteria. CIGRE brochure, 443. [29]. Lowe, R. I. (1985). Artificial intelligence techniques applied to transformer oil dissolved gas analysis. In Proceedings of the 1985 International Conference of Doble Clients. Boston, Massachusetts. [30]. Dukarm, J. J. (1993). Transformer oil diagnosis using fuzzy logic and neural networks. In Proceedings of Canadian Conference on Electrical and Computer Engineering (pp. 329-332). IEEE. [31]. Mohammad, G., Sahar, S. S., & Mohammad, A. V. (2011). Artificial neural networks applied to DGA for fault diagnosis in oil-filled power transformers. Journal of Electrical and Electronics Engineering Research, 3(1), 1-10. [32]. Patekar, K. D., & Chaudhry, B. (2019, November). DGA analysis of transformer using Artificial neutral network to improve reliability in Power Transformers. In 2019 IEEE 4th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON) (pp. 1-5). IEEE. [33]. Flores, W. C., Mombello, E. E., Jardini, J. A., Rattá, G., & Corvo, A. M. (2011). Expert system for the assessment of power transformer insulation condition based on type-2 fuzzy logic systems. Expert Systems with Applications, 38(7), 8119-8127. [34]. Khan, S. A., Equbal, M. D., & Islam, T. (2015). 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(2009). Reliability engineering and risk analysis: a practical guide. CRC press. [107]. ReliaSoft, C. (2014). Accelerated life testing reference. Tucson, AZ: ReliaSoft Publishing. [108]. LuValle, M. J., Lefevre, B. G., & Kannan, S. (2004). Design and analysis of accelerated tests for mission critical reliability. Chapman and Hall/CRC. [109]. Du, L., Wang, Y., Wang, W., & Chen, X. (2018). Studies on a Thermal Fault Simulation Device and the Pyrolysis Process of Insulating Oil. Energies, 11(12), 3392. [110]. Chen, G., & Pham, T. T. (2000). Introduction to fuzzy sets, fuzzy logic, and fuzzy control systems. CRC press. [111]. Sivanandam, S. N., Sumathi, S., & Deepa, S. N. (2007). Introduction to fuzzy logic using MATLAB (Vol. 1). Berlin: Springer. [112]. Hurley, W. G., & Wölfle, W. H. (2013). Transformers and inductors for power electronics: theory, design and applications. John Wiley & Sons. [113]. McLyman, C. W. T. (2004). Transformer and inductor design handbook. CRC press. [114]. Valchev, V. C., & Van den Bossche, A. (2018). Inductors and transformers for power electronics. CRC press. [115]. METGLAS® 2605-SA1 core datasheet, National Energy Technology Laboratory, 2018 [116]. Sullivan, C. R., & Zhang, R. Y. (2014, March). Simplified design method for Litz wire. In 2014 IEEE Applied Power Electronics Conference and Exposition-APEC 2014 (pp. 2667-2674). IEEE. [117]. Metglas, High frequency distributed gap inductor core, Technical bulletin [118]. https://www.mkmagnetics.com [119]. https://metglas.com/ |
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Atribución-NoComercial 4.0 Internacional |
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xviii, 145 páginas |
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application/pdf |
dc.publisher.spa.fl_str_mv |
Universidad Nacional de Colombia |
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Manizales - Ingeniería y Arquitectura - Doctorado en Ingeniería - Automática |
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Facultad de Ingeniería y Arquitectura |
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Atribución-NoComercial 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Cano Plata, Eduardo Antonio02e3de40e810806ce488572c95f41005600Ustariz Farfan, Armando Jaime0abce36196e3d986b662537bfe4368ae600Soto Marín, Oscar Julián73fac06430aafb0d7e1983f6fbfd9ed6Redes de Distribución y Potencia Gredyp2023-01-24T14:14:08Z2023-01-24T14:14:08Z2022https://repositorio.unal.edu.co/handle/unal/83084Universidad Nacional de ColombiaRepositorio Institucional Universidad Nacional de Colombiahttps://repositorio.unal.edu.co/fotografías, graficas, ilustraciones, tablasEste trabajo de investigación está enfocado al diagnóstico de los sistemas de aislamiento de los transformadores. Para este propósito, es necesario primero determinar la ley de envejecimiento de activo, el cual está centrado en la identificación de los factores o causas que originan la degradación del transformador. Dentro de este mismo proceso es necesario identificar el efecto sobre el transformador (reducción del nivel de aislamiento, disminución de la capacidad de refrigeración, pérdida de eficiencia, etc.), esto es el modo de falla. Con la comprensión e identificación plena de los factores presentes en el proceso del desarrollo de la falla, es posible medir los parámetros más apropiados para realizar el diagnóstico preciso del sistema del transformador que está presentando la falla, esto permitirá determinar las mejores prácticas en la gestión eficiente del transformador. La tesis propone el desarrollo de métodos de diagnósticos basados en los resultados de ensayos de envejecimiento acelerado realizados a los transformadores en aceite, transformadores tipo seco y transformadores de mediana frecuencia, fundamentado en la teoría de la cinética química. El realizar el estudio sobre diferentes tipos de aislamientos, permite realizar analogías de los procesos de degradación y diagnósticos; igualmente, comparar la ley de envejecimiento de cada tipo de transformador. (Texto tomado de la fuente)This research work is focused on the diagnosis of transformer insulation systems. For this purpose, it is first necessary to determine the asset aging law, which is focused on the identification of the factors or causes that cause deterioration of the transformer. Within this same process, it is necessary to identify the effect on the transformer (reduced insulation level, decreased cooling capacity, loss of efficiency, etc.), that is, the failure mode. With the full understanding and identification of the factors present in the fault development process, it is possible to measure the most appropriate parameters to perform an accurate diagnosis of the transformer system that is presenting the fault, this will allow to determine the best practices in the efficient management of the transformer. The thesis proposes the development of diagnostic methods based on the results of accelerated aging tests carried out on oil-filled transformers, dry-type transformers and medium-frequency transformers, based on the theory of chemical kinetics. Carrying out the study on different types of insulation allows analogies to be made of the degradation and diagnostic processes; similarly, compare the law of aging of each type of transformer.DoctoradoDoctor en Ingeniería - Ingeniería AutomáticaEléctrica, Electrónica, Automatización Y Telecomunicacionesxviii, 145 páginasapplication/pdfspaUniversidad Nacional de ColombiaManizales - Ingeniería y Arquitectura - Doctorado en Ingeniería - AutomáticaFacultad de Ingeniería y ArquitecturaManizales, ColombiaUniversidad Nacional de Colombia - Sede Manizales620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingenieríaRedes eléctricasTransformadores eléctricosEnvejecimiento aceleradoEcuación de ArrheniusDiagnóstico del transformadorTransformador inmerso en aceiteTransformadores de media frecuenciaAccelerated agingArrhenius equationTransformer diagnosisOil immersed transformerMedium frequency transformersDegradación térmica de los sistemas de aislamiento de transformadoresThermal degradation of transformer insulation systemsTrabajo de grado - Doctoradoinfo:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_db06ImageText[1]. 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Metglas, High frequency distributed gap inductor core, Technical bulletin[118]. https://www.mkmagnetics.com[119]. https://metglas.com/EstudiantesInvestigadoresMaestrosPúblico generalLICENSElicense.txtlicense.txttext/plain; charset=utf-85879https://repositorio.unal.edu.co/bitstream/unal/83084/3/license.txteb34b1cf90b7e1103fc9dfd26be24b4aMD53ORIGINAL75034637.2022.pdf75034637.2022.pdfTesis de Doctorado en Ingeniería - Automáticaapplication/pdf4756072https://repositorio.unal.edu.co/bitstream/unal/83084/4/75034637.2022.pdfa09a05849ad8781593a0f7d20fb9f17eMD54THUMBNAIL75034637.2022.pdf.jpg75034637.2022.pdf.jpgGenerated Thumbnailimage/jpeg4720https://repositorio.unal.edu.co/bitstream/unal/83084/5/75034637.2022.pdf.jpg5fe91c2b94c0ae1a71dd62b55ca49486MD55unal/83084oai:repositorio.unal.edu.co:unal/830842023-08-13 23:05:27.817Repositorio Institucional Universidad Nacional de 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