Metodología para la localización de fallas en sistemas de distribución

Ilustraciones, graficas, tablas

Autores:: Jagua Gualdron, Jorge Luis

Tipo de recurso:

Fecha de publicación:: 2022

Institución:: Universidad Nacional de Colombia

Repositorio:: Universidad Nacional de Colombia

Idioma:: spa

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network_name_str	Universidad Nacional de Colombia
repository_id_str
dc.title.spa.fl_str_mv	Metodología para la localización de fallas en sistemas de distribución
dc.title.translated.eng.fl_str_mv	Fault location methodology in distribution systems
title	Metodología para la localización de fallas en sistemas de distribución
spellingShingle	Metodología para la localización de fallas en sistemas de distribución 530 - Física::537 - Electricidad y electrónica DISTRIBUCION DE ENERGIA ELECTRICA LOCALIZACION DE FALLAS ELECTRICAS Electric power distribution Electric fault location Localización de fallas Sistemas de distribución Metaheuristicas Fault location Waveform segmentation
title_short	Metodología para la localización de fallas en sistemas de distribución
title_full	Metodología para la localización de fallas en sistemas de distribución
title_fullStr	Metodología para la localización de fallas en sistemas de distribución
title_full_unstemmed	Metodología para la localización de fallas en sistemas de distribución
title_sort	Metodología para la localización de fallas en sistemas de distribución
dc.creator.fl_str_mv	Jagua Gualdron, Jorge Luis
dc.contributor.advisor.none.fl_str_mv	Diaz Morales, Hernando
dc.contributor.author.none.fl_str_mv	Jagua Gualdron, Jorge Luis
dc.contributor.researchgroup.spa.fl_str_mv	Grupo de Investigación Emc-Un
dc.subject.ddc.spa.fl_str_mv	530 - Física::537 - Electricidad y electrónica
topic	530 - Física::537 - Electricidad y electrónica DISTRIBUCION DE ENERGIA ELECTRICA LOCALIZACION DE FALLAS ELECTRICAS Electric power distribution Electric fault location Localización de fallas Sistemas de distribución Metaheuristicas Fault location Waveform segmentation
dc.subject.lemb.spa.fl_str_mv	DISTRIBUCION DE ENERGIA ELECTRICA LOCALIZACION DE FALLAS ELECTRICAS
dc.subject.lemb.eng.fl_str_mv	Electric power distribution Electric fault location
dc.subject.proposal.spa.fl_str_mv	Localización de fallas Sistemas de distribución Metaheuristicas
dc.subject.proposal.eng.fl_str_mv	Fault location Waveform segmentation
description	Ilustraciones, graficas, tablas
publishDate	2022
dc.date.accessioned.none.fl_str_mv	2022-08-10T15:11:19Z
dc.date.available.none.fl_str_mv	2022-08-10T15:11:19Z
dc.date.issued.none.fl_str_mv	2022-06
dc.type.spa.fl_str_mv	Trabajo de grado - Maestría
dc.type.driver.spa.fl_str_mv	info:eu-repo/semantics/masterThesis
dc.type.version.spa.fl_str_mv	info:eu-repo/semantics/acceptedVersion
dc.type.content.spa.fl_str_mv	Text
dc.type.redcol.spa.fl_str_mv	http://purl.org/redcol/resource_type/TM
status_str	acceptedVersion
dc.identifier.uri.none.fl_str_mv	https://repositorio.unal.edu.co/handle/unal/81834
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/81834 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.indexed.spa.fl_str_mv	RedCol LaReferencia
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Melendez F., “Feature analysis and classification methodology for overhead distribution fault events,” 2010. doi: 10.1109/PES.2010.5589270. M. H. J. Bollen et al., “Bridging the gap between signal and power,” IEEE Signal Processing Magazine, vol. 26, no. 4, 2009, doi: 10.1109/msp.2009.932706. C. A. DUARTE GUALDRÓN, “TÉCNICAS DE PROCESAMIENTO DE SEÑALES PARA LA MONITORIZACIÓN DE LA CALIDAD DE LA ENERGÍA ELÉCTRICA,” 2004. M. Szmajda, K. Górecki, and J. Mroczka, “DFT algorithm analysis in low-cost power quality measurement systems based on a DSP processor,” 2007. doi: 10.1109/EPQU.2007.4424081. Y. Gu and M. H. J. Bollen, “Time-frequency and time-scale domain analysis of voltage disturbances,” IEEE Transactions on Power Delivery, vol. 15, no. 4, 2000, doi: 10.1109/61.891515. “Electrical power systems quality,” Choice Reviews Online, vol. 34, no. 01, 1996, doi: 10.5860/choice.34-0322. I. Y. H. Gu and E. 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Blanco, “Diseño de una metodología para la valoración de eventos causados por fallas de red e insercción de bancos de condensadores en sistemas de distribución de energía eléctrica,” Bucaramanga, 2012. S. A. Deokar and L. M. Waghmare, “Integrated DWT-FFT approach for detection and classification of power quality disturbances,” International Journal of Electrical Power and Energy Systems, vol. 61, 2014, doi: 10.1016/j.ijepes.2014.04.015. J. Barros and E. Pérez, “Automatic detection and analysis of voltage events in power systems,” IEEE Transactions on Instrumentation and Measurement, vol. 55, no. 5, 2006, doi: 10.1109/TIM.2006.881584. V. Barrera, “Automatic Diagnosis of Voltage Disturbances in Power Distribution Networks,” 2012. C. D. Le, I. Y. H. Gu, and M. H. J. Bollen, “Joint causal and anti-causal segmentation and location of transitions in power disturbances,” 2010. doi: 10.1109/PES.2010.5588103. G. Rilling, P. Flandrin, and P. 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Kulkarni, N. Karnik, and S. Santoso, “Distribution fault location using short-circuit fault current profile approach,” 2011. doi: 10.1109/PES.2011.6039423. A. R. van C. Warrington, “Erratum: Protective Relays: Their Theory and Practice—Vol. 2,” Electronics and Power, vol. 24, no. 8, 1978, doi: 10.1049/ep.1978.0345. M. S. Sachdev, R. Das, and T. S. Sidhu, “Determining locations of faults in distribution systems,” in IEE Conference Publication, 1997, no. 434. doi: 10.1049/cp:19970060. R. H. Salim, M. Resener, A. D. Filomena, K. R. C. de Oliveira, and A. S. Bretas, “Extended fault-location formulation for power distribution systems,” IEEE Transactions on Power Delivery, vol. 24, no. 2, 2009, doi: 10.1109/TPWRD.2008.2002977. A. D. Filomena, M. Resener, R. H. Salim, and A. S. 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Peterson, “A New Fault Location Technique for Two- and Three-Terminal Lines,” IEEE Transactions on Power Delivery, vol. 7, no. 1, 1992, doi: 10.1109/61.108895. D. Novosel, D. G. Hart, E. Udren, and J. Garitty, “Unsynchronized two-terminal fault location estimation,” IEEE Transactions on Power Delivery, vol. 11, no. 1, 1996, doi: 10.1109/61.484009. R. A. F. Pereira, L. G. W. da Silva, M. Kezunovic, and J. R. S. Mantovani, “Improved fault location on distribution feeders based on matching during-fault voltage sags,” IEEE Transactions on Power Delivery, vol. 24, no. 2, 2009, doi: 10.1109/TPWRD.2009.2014480. Q. Jiang, B. Wang, and X. Li, “An efficient PMU-based fault-location technique for multiterminal transmission lines,” IEEE Transactions on Power Delivery, vol. 29, no. 4, 2014, doi: 10.1109/TPWRD.2014.2298865. D. W. Allan and M. A. Weiss, “Accurate Time and Frequency Transfer During Common-View of a GPS Satellite,” 2008. doi: 10.1109/freq.1980.200424. M. A. Lombardi, L. M. Nelson, A. N. Novick, and V. S. Zhang, “Time and Frequency Measurements Using the Global Positioning System,” the International Journal of Metrology, vol. 8, no. 3, 2001. S. R. Nam, S. H. Kang, S. J. Ahn, and J. H. Choi, “Single line-to-ground fault location based on unsynchronized phasors in automated ungrounded distribution systems,” Electric Power Systems Research, vol. 86, 2012, doi: 10.1016/j.epsr.2011.12.010. F. M. Aboshady, D. W. P. Thomas, and M. Sumner, “Fast fault location scheme for distribution systems based on fault transients,” in IET Conference Publications, 2017, vol. 2017, no. CP727. doi: 10.1049/cp.2017.0327. F. M. Aboshady, M. Sumner, and D. W. P. Thomas, “A double end fault location technique for distribution systems based on fault-generated transients,” 2017. doi: 10.1109/ISIE.2017.8001219. C. Zhao, S. Tao, and X. Xiao, “Fault location estimation based on voltage sag information of PQMS,” Dianwang Jishu/Power System Technology, vol. 40, no. 2, 2016, doi: 10.13335/j.1000-3673.pst.2016.02.044. J. Blanco-Solano, J. F. Petit-Suarez, G. Ordonez-Plata, and N. Kagan, “Voltage sag state estimation using compressive sensing in power systems,” 2019. doi: 10.1109/PTC.2019.8810771. C. C. J. G. J. Mora, “Técnica de localización de faltas para un sistema de potencia radial, con cargas laterales desequilibradas y circuitos no homogéneos,” Revista Scientia et Técnica, vol. 28, pp. 56–62, Sep. 2005. R. N. Mahanty and P. B. Dutta Gupta, “Application of RBF neural network to fault classification and location in transmission lines,” in IEE Proceedings: Generation, Transmission and Distribution, 2004, vol. 151, no. 2. doi: 10.1049/ip-gtd:20040098. D. Thukaram, H. P. Khincha, and H. P. Vijaynarasimha, “Artificial neural network and support vector machine approach for locating faults in radial distribution systems,” IEEE Transactions on Power Delivery, vol. 20, no. 2 I, 2005, doi: 10.1109/TPWRD.2005.844307. A. ZAPATA-TAPASCO and S. a. M.-F. J. PEREZ-LONDONO, “Método basado en clasificadores k-NN parametrizados con algoritmos genéticos y la estimación de la reactancia para localización de fallas en sistemas de distribución,” Revista Facultad de Ingeniería Universidad de Antioquia, vol. 70, pp. 220–232, Mar. 2014. G. Manassero, S. G. di Santo, and L. Souto, “Heuristic Method for Fault Location in Distribution Feeders with the Presence of Distributed Generation,” IEEE Transactions on Smart Grid, vol. 8, no. 6, 2017, doi: 10.1109/TSG.2016.2598487. C. F. Chien, S. L. Chen, and Y. S. Lin, “Using Bayesian network for fault location on distribution feeder,” IEEE Transactions on Power Delivery, vol. 17, no. 3, 2002, doi: 10.1109/TPWRD.2002.1022804. Z. Q. Bo, G. Weller, and M. A. Redfern, “Accurate fault location technique for distribution system using fault-generated high-frequency transient voltage signals,” IEE Proceedings: Generation, Transmission and Distribution, vol. 146, no. 1, 1999, doi: 10.1049/ip-gtd:19990074. F. H. Magnago and A. Abur, “Fault location using wavelets,” IEEE Transactions on Power Delivery, vol. 13, no. 4, 1998, doi: 10.1109/61.714808. I. Niazy and J. Sadeh, “A new single ended fault location algorithm for combined transmission line considering fault clearing transients without using line parameters,” International Journal of Electrical Power and Energy Systems, vol. 44, no. 1, 2013, doi: 10.1016/j.ijepes.2012.08.007. W. Zhao, Y. H. Song, and W. R. Chen, “Improved GPS travelling wave fault locator for power cables by using wavelet analysis,” International Journal of Electrical Power and Energy Systems, vol. 23, no. 5, 2001, doi: 10.1016/S0142-0615(00)00064-8. L. Nastac and A. A. 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Axelberg, and E. Styvaktakis, “Classification of underlying causes of power quality disturbances: Deterministic versus statistical methods,” Eurasip Journal on Advances in Signal Processing, vol. 2007, 2007, doi: 10.1155/2007/79747. V. B. Núñez, I. Y. H. Gu, M. H. J. Bollen, and J. Meléndez, “Feature characterization of power quality events according to their underlying causes,” 2010. doi: 10.1109/ICHQP.2010.5625496. R. Hongdilokkul and C. Banmongkol, “Classification of transmission line faults with waveform characterization,” 2016. doi: 10.1109/ECTICon.2016.7561433. J. A. Wischkaemper, C. L. Benner, and B. D. Russell, “Electrical characterization of vegetation contacts with distribution conductors - Investigation of progressive fault behavior,” 2008. doi: 10.1109/TDC.2008.4517149. P. J. Diggle and J. Serra, “Image Analysis and Mathematical Morphology.,” Biometrics, vol. 39, no. 2, 1983, doi: 10.2307/2531038. R. M. Haralick, S. R. Sternberg, and X. 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dc.rights.license.spa.fl_str_mv	Atribución-NoComercial-SinDerivadas 4.0 Internacional
dc.rights.uri.spa.fl_str_mv	http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.accessrights.spa.fl_str_mv	info:eu-repo/semantics/openAccess
rights_invalid_str_mv	Atribución-NoComercial-SinDerivadas 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ http://purl.org/coar/access_right/c_abf2
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dc.format.extent.spa.fl_str_mv	xviii, 121 páginas
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dc.publisher.spa.fl_str_mv	Universidad Nacional de Colombia
dc.publisher.program.spa.fl_str_mv	Bogotá - Ingeniería - Maestría en Ingeniería - Ingeniería Eléctrica
dc.publisher.department.spa.fl_str_mv	Departamento de Ingeniería Eléctrica y Electrónica
dc.publisher.faculty.spa.fl_str_mv	Facultad de Ingeniería
dc.publisher.branch.spa.fl_str_mv	Universidad Nacional de Colombia - Sede Bogotá
institution	Universidad Nacional de Colombia
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spelling	Atribución-NoComercial-SinDerivadas 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Diaz Morales, Hernandoe17259fdb16d0ab0dd198515b464272eJagua Gualdron, Jorge Luis5b1924eb3c8dcb39c19da54b1b3d0927Grupo de Investigación Emc-Un2022-08-10T15:11:19Z2022-08-10T15:11:19Z2022-06https://repositorio.unal.edu.co/handle/unal/81834Universidad Nacional de ColombiaRepositorio Institucional Universidad Nacional de Colombiahttps://repositorio.unal.edu.co/Ilustraciones, graficas, tablasUno de los eventos que requiere mayor atención por parte del operador de mantenimiento en una red de distribución es la ocurrencia de una falla en algún punto de esta red. Definir la ubicación de la falla es una de las actividades que requieren de atención inmediata para restablecer el servicio y evitar la disminución de índices de calidad del servicio. El trabajo de esta tesis propone una metodología para la localización de fallas enfocando el análisis a las etapas correspondientes al proceso asociado a la gestión del operador de mantenimiento durante una falla: segmentación y detección, localización, caracterización de la causa. Cada una de estas etapas se presenta de manera individual y se proponen métodos para resolver el problema. Inicialmente se analiza del proceso de identificación/segmentación en el cual se determinan los estados transitorios y de estado estable de la falla a partir de los valores instantáneos de tensión y de corriente validando la aplicación de esta propuesta con eventos con forma de onda rectangular y eventos de rápida y lenta transición. Posteriormente es analizado el problema de la localización de la falla a partir de la aplicación de un método de optimización metaheurístico el cual emplea los valores medidos de tensión y de corriente de la falla en estado estable para realizar una comparación con los valores calculados validando los resultados a partir de simulaciones de falla sobre una red distribución industrial con fuentes en diferentes puntos de la red. Finalmente se explora la caracterización de la causa raíz de las fallas buscando clasificar si los eventos de falla ocurren por contacto de árboles, animales o descargas de rayo. (Texto tomado de la fuente)One of the events that requires the most attention from the maintenance operator in a distribution network is the occurrence of a failure at some point in this network. Defining the location of the fault is one of the activities that requires immediate attention to restore the service and avoid a decrease in service quality indices. This thesis proposes a methodology for fault location, focusing the analysis on the stages corresponding to the process associated with the management of the maintenance operator during a fault: segmentation and detection, location, characterization of the cause. Each of these stages is presented individually and methods are proposed to solve the problem. Initially, the identification/segmentation process is analyzed in which the transient and stable states of the fault are determined from the instantaneous values of voltage and current, validating the application of this proposal with events with a rectangular waveform and events fast and slow transition. Subsequently, the problem of fault location is analyzed from the application of a metaheuristic optimization method which uses the measured values of voltage and current of the fault in stable state to make a comparison with the calculated values, validating the results. from fault simulations on an industrial distribution network with sources at different points of the network. Finally, the characterization of the root cause of the faults is explored, seeking to classify if the fault events occur due to contact with trees, animals, or lightning discharges.MaestríaMagíster en Ingeniería - Ingeniería de EléctricaSistemas de distribuciónxviii, 121 páginasapplication/pdfspaUniversidad Nacional de ColombiaBogotá - Ingeniería - Maestría en Ingeniería - Ingeniería EléctricaDepartamento de Ingeniería Eléctrica y ElectrónicaFacultad de IngenieríaUniversidad Nacional de Colombia - Sede Bogotá530 - Física::537 - Electricidad y electrónicaDISTRIBUCION DE ENERGIA ELECTRICALOCALIZACION DE FALLAS ELECTRICASElectric power distributionElectric fault locationLocalización de fallasSistemas de distribuciónMetaheuristicasFault locationWaveform segmentationMetodología para la localización de fallas en sistemas de distribuciónFault location methodology in distribution systemsTrabajo de grado - Maestríainfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/acceptedVersionTexthttp://purl.org/redcol/resource_type/TMRedColLaReferenciaJ. 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Ho, “The random subspace method for constructing decision forests,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 20, no. 8, 1998, doi: 10.1109/34.709601.EstudiantesInvestigadoresMaestrosORIGINAL1098607872.2022.pdf1098607872.2022.pdfTesis de Maestría en Ingeniería Eléctricaapplication/pdf4901586https://repositorio.unal.edu.co/bitstream/unal/81834/3/1098607872.2022.pdf682082a0880534f9af2b759cc7704207MD53LICENSElicense.txtlicense.txttext/plain; charset=utf-84074https://repositorio.unal.edu.co/bitstream/unal/81834/4/license.txt8153f7789df02f0a4c9e079953658ab2MD54THUMBNAIL1098607872.2022.pdf.jpg1098607872.2022.pdf.jpgGenerated Thumbnailimage/jpeg4506https://repositorio.unal.edu.co/bitstream/unal/81834/5/1098607872.2022.pdf.jpg6edd0740b6c18f1623786dc4400e40c5MD55unal/81834oai:repositorio.unal.edu.co:unal/818342024-08-08 23:11:29.835Repositorio Institucional Universidad Nacional de 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EVESURBIFBPUiBMQSBTRUNSRVRBUsONQSBHRU5FUkFMLiAqTEEgVEVTSVMgQSBQVUJMSUNBUiBERUJFIFNFUiBMQSBWRVJTScOTTiBGSU5BTCBBUFJPQkFEQS4gCgpBbCBoYWNlciBjbGljIGVuIGVsIHNpZ3VpZW50ZSBib3TDs24sIHVzdGVkIGluZGljYSBxdWUgZXN0w6EgZGUgYWN1ZXJkbyBjb24gZXN0b3MgdMOpcm1pbm9zLiBTaSB0aWVuZSBhbGd1bmEgZHVkYSBzb2JyZSBsYSBsaWNlbmNpYSwgcG9yIGZhdm9yLCBjb250YWN0ZSBjb24gZWwgYWRtaW5pc3RyYWRvciBkZWwgc2lzdGVtYS4KClVOSVZFUlNJREFEIE5BQ0lPTkFMIERFIENPTE9NQklBIC0gw5psdGltYSBtb2RpZmljYWNpw7NuIDE5LzEwLzIwMjEK

Metodología para la localización de fallas en sistemas de distribución

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