Estimación de Estado Basado en Medidas PMUs. Caso de estudio: San Andrés Isla

ilustraciones, diagramas

Autores:: Urrego Silva, Aide Johana

Tipo de recurso:

Fecha de publicación:: 2024

Institución:: Universidad Nacional de Colombia

Repositorio:: Universidad Nacional de Colombia

Idioma:: spa

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dc.title.spa.fl_str_mv	Estimación de Estado Basado en Medidas PMUs. Caso de estudio: San Andrés Isla
dc.title.translated.eng.fl_str_mv	State Estimation Based on PMU Measurements. Case Study: San Andrés Island
title	Estimación de Estado Basado en Medidas PMUs. Caso de estudio: San Andrés Isla
spellingShingle	Estimación de Estado Basado en Medidas PMUs. Caso de estudio: San Andrés Isla 530 - Física::537 - Electricidad y electrónica SERVICIOS DE SUMINISTRO DE ENERGIA Energy facilities State estimation Phasor measurement units Wide Area Monitoring System Linear state estimation Wide area measurement system Voltage monitoring PMU WAMS Unidad de medición fasorial Sistema de monitoreo de área amplia Estimación de estado lineal Aplicaciones del sistema de medición de área amplia Monitoreo de tensión
title_short	Estimación de Estado Basado en Medidas PMUs. Caso de estudio: San Andrés Isla
title_full	Estimación de Estado Basado en Medidas PMUs. Caso de estudio: San Andrés Isla
title_fullStr	Estimación de Estado Basado en Medidas PMUs. Caso de estudio: San Andrés Isla
title_full_unstemmed	Estimación de Estado Basado en Medidas PMUs. Caso de estudio: San Andrés Isla
title_sort	Estimación de Estado Basado en Medidas PMUs. Caso de estudio: San Andrés Isla
dc.creator.fl_str_mv	Urrego Silva, Aide Johana
dc.contributor.advisor.none.fl_str_mv	Rosero Garcia, Javier Alveiro Zambrano Pinto, Álvaro Alfonso
dc.contributor.author.none.fl_str_mv	Urrego Silva, Aide Johana
dc.contributor.researchgroup.spa.fl_str_mv	Electrical Machines & Drives, Em&D
dc.subject.ddc.spa.fl_str_mv	530 - Física::537 - Electricidad y electrónica
topic	530 - Física::537 - Electricidad y electrónica SERVICIOS DE SUMINISTRO DE ENERGIA Energy facilities State estimation Phasor measurement units Wide Area Monitoring System Linear state estimation Wide area measurement system Voltage monitoring PMU WAMS Unidad de medición fasorial Sistema de monitoreo de área amplia Estimación de estado lineal Aplicaciones del sistema de medición de área amplia Monitoreo de tensión
dc.subject.lemb.spa.fl_str_mv	SERVICIOS DE SUMINISTRO DE ENERGIA
dc.subject.lemb.eng.fl_str_mv	Energy facilities
dc.subject.proposal.eng.fl_str_mv	State estimation Phasor measurement units Wide Area Monitoring System Linear state estimation Wide area measurement system Voltage monitoring
dc.subject.proposal.none.fl_str_mv	PMU WAMS
dc.subject.proposal.spa.fl_str_mv	Unidad de medición fasorial Sistema de monitoreo de área amplia Estimación de estado lineal Aplicaciones del sistema de medición de área amplia Monitoreo de tensión
description	ilustraciones, diagramas
publishDate	2024
dc.date.accessioned.none.fl_str_mv	2024-05-14T16:09:54Z
dc.date.available.none.fl_str_mv	2024-05-14T16:09:54Z
dc.date.issued.none.fl_str_mv	2024
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/86073
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/86073 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	Z. Yang, N. Chen, Y. Chen, and N. Zhou, “A Novel PMU Fog Based Early Anomaly Detection for an Efficient Wide Area PMU Network,” in 2018 IEEE 2nd International Conference on Fog and Edge Computing (ICFEC), 2018, pp. 1–10. doi: 10.1109/CFEC.2018.8358730. M. Medvedev and N. Shienok, “Increasing Accuracy of the GLONASS Time Service,” GPS Solutions, vol. 4, no. 3, pp. 11–15, 2001, doi: 10.1007/PL00012850. D. A. Degtyarev, A. A. Voloshin, A. I. Kovalenko, D. M. Biserov, V. S. Volnyy, and S. A. Danilov, “Identification Parameters Of Equivalent Using PMU For Developing Adaptive Pacs For Distribution Networks With Electricity Sources,” in 2019 2nd International Youth Scientific and Technical Conference on Relay Protection and Automation (RPA), 2019, pp. 1–18. doi: 10.1109/RPA47751.2019.8958427. G. Cavraro and R. Arghandeh, “Power Distribution Network Topology Detection With Time-Series Signature Verification Method,” IEEE Transactions on Power Systems, vol. 33, no. 4, pp. 3500–3509, 2018, doi: 10.1109/TPWRS.2017.2779129. R. Dutta, S. Chakrabarti, and A. Sharma, “Robust Topology Detection of Distribution Network,” IEEE Transactions on Power Systems, vol. 36, no. 6, pp. 5967–5970, 2021, doi: 10.1109/TPWRS.2021.3099312. D. S. Kumar, J. S. Savier, and S. S. Biju, “Micro-synchrophasor based special protection scheme for distribution system automation in a smart city,” PROTECTION AND CONTROL OF MODERN POWER SYSTEMS, vol. 5, no. 1, 2020, doi: 10.1186/s41601-020-0153-1. J. Sexauer, P. Javanbakht, and S. Mohagheghi, “Phasor measurement units for the distribution grid: Necessity and benefits,” in 2013 IEEE PES Innovative Smart Grid Technologies Conference, ISGT 2013, 2013. doi: 10.1109/ISGT.2013.6497828. Y. Seyedi and H. Karimi, “Coordinated Protection and Control Based on Synchrophasor Data Processing in Smart Distribution Networks,” IEEE TRANSACTIONS ON POWER SYSTEMS, vol. 33, no. 1, pp. 634–645, 2018, doi: 10.1109/TPWRS.2017.2708662. P. T. Manditereza and R. C. Bansal, “Protection of microgrids using voltage-based power differential and sensitivity analysis,” International Journal of Electrical Power and Energy Systems, vol. 118, 2020, doi: 10.1016/j.ijepes.2019.105756. Brancaccio D and Cassiadoro M, 2016 IEEE/PES Transmission and Distribution Conference and Exposition (T & D). IEEE, 2016. C. A. Lozano, F. Castro, and S. L. Ramirez, “Unidades de Medición Fasorial (PMU),” [Online]. Available: 02, 2022. 2011, Accessed: Mar. https://red.uao.edu.co/bitstream/handle/10614/10932/A0131.pdf?sequence=1&isAll owed=y D. Ortiz, A. Villamarín, and D. Espín, “Diseño e Implementación de un Prototipo de Unidad de Medición Fasorial (PMU - Phasor Measurement Unit) para el Monitoreo, Control y Protección de Sistemas Eléctricos,” 2014, Accessed: Mar. 02, 2022. [Online]. https://revistaenergia.cenace.gob.ec/index.php/cenace/article/view/80/78 Available J. Wilson G, G. J. Lopez, and M. Osorio, “Sistema de Respaldo Nacional ante Eventos de Gran Magnitud - SIRENA,” 2011, Accessed: Mar. 02, 2022. [Online]. Available: https://nanopdf.com/queue/sistema-de-respaldo-nacional-ante-eventos- de-gran-magnitud_pdf?queue_id=-1&x=1646294584&z=MTc5LjQzLjEwOC4xNTI= GRUPO DE INVESTIGACIÓN XUÉ SEMILLERO DE INVESTIGACIÓN BARIÓN, “ASPECTOS GENERALES DE LAS REDES ELÉCTRICAS INTELIGENTES EN COLOMBIA,” 2020. Operador Nacional de Electricidad - CENACE, “Redacción del Informe de rendición de cuentas,” 2021. N. Khanjani and S. M. Moghaddas-Tafreshi, “Analysis of Observability Constraint on Optimal Feeder Reconfiguration of an Active Distribution Network with $\mu \mathrm{PMUs}$,” in 2020 28th Iranian Conference on Electrical Engineering (ICEE), 2020, pp. 1–5. doi: 10.1109/ICEE50131.2020.9261078. A. R. R. Matavalam, A. Singhal, and V. Ajjarapu, “Monitoring Long Term Voltage Instability due to Distribution & Transmission Interaction using Unbalanced μPMU & PMU Measurements,” in 2020 IEEE Power & Energy Society General Meeting (PESGM), 2020, p. 1. doi: 10.1109/PESGM41954.2020.9282086. W. Zhou, O. Ardakanian, H.-T. Zhang, and Y. Yuan, “Bayesian Learning-Based Harmonic State Estimation in Distribution Systems With Smart Meter and DPMU Data,” IEEE Trans Smart Grid, vol. 11, no. 1, pp. 832–845, 2020, doi: 10.1109/TSG.2019.2938733. C. Tu, X. He, X. Liu, and P. Li, “Cyber-Attacks in PMU-Based Power Network and Countermeasures,” IEEE Access, vol. 6, pp. 65594–65603, 2018, doi: 10.1109/ACCESS.2018.2878436. H. Su, P. Li, P. Li, X. Fu, L. Yu, and C. Wang, “Augmented Sensitivity Estimation Based Voltage Control Strategy of Active Distribution Networks With PMU Measurement,” IEEE Access, vol. 7, pp. 44987–44997, 2019, doi: 10.1109/ACCESS.2019.2908183. Z. Zhu and Z. Fan, “An efficient consumption optimisation for dense neighbourhood area demand management,” in 2016 IEEE International Energy Conference (ENERGYCON), 2016, pp. 1–5. doi: 10.1109/ENERGYCON.2016.7514063. T. Xu, J. Zhou, H. Yang, P. Li, L. Yu, and X. Guo, “Consensus based Distributed Angle Droop Control for Islands Resynchronization,” in 2020 IEEE Power & Energy Society General Meeting (PESGM), 10.1109/PESGM41954.2020.9281421. 2020, N. K. Sharma and S. R. Samantaray, “Integrated Impedance Based Protection Scheme for Microgrid,” in 2018 15th IEEE India Council International Conference (INDICON), 2018, pp. 1–6. doi: 10.1109/INDICON45594.2018.8987112. N. K. Sharma and S. R. Samantaray, “PMU Assisted Integrated Impedance Angle- Based Microgrid Protection Scheme,” IEEE Transactions on Power Delivery, vol. 35, no. 1, pp. 183–193, 2020, doi: 10.1109/TPWRD.2019.2925887. Y. Zhang, X. Wang, Y. Luo, J. He, B. Hua, and Q. Xu, “High impedance f ault detection in distribution network using convolutional neural network based on distribution-level PMU data,” in 8th Renewable Power Generation Conference (RPG 2019), 2019, pp. 1–8. doi: 10.1049/cp.2019.0325. Q. Cui and Y. Weng, “Enhance High Impedance Fault Detection and Location Accuracy via <inline-formula> <tex-math notation="LaTeX">$\mu$ </tex- math></inline-formula>-PMUs,” IEEE Trans Smart Grid, vol. 11, no. 1, pp. 797–809, 2020, doi: 10.1109/TSG.2019.2926668. M. Gholami, A. Abbaspour, M. Moeini-Aghtaie, M. Fotuhi-Firuzabad, and M. Lehtonen, “Detecting the Location of Short-Circuit Faults in Active Distribution Network Using PMU-Based State Estimation,” IEEE Trans Smart Grid, vol. 11, no. 2, pp. 1396–1406, 2020, doi: 10.1109/TSG.2019.2937944. C. Fang, Z. Shi, Y. Peng, Z. Wu, W. Gu, and P. Nie, “Fault Location in Distribution Networks Using PMU Data and Interval Algorithm,” in 2019 9th International Conference on Power and Energy Systems (ICPES), 2019, pp. 1–6. doi: 10.1109/ICPES47639.2019.9105381. M. S. Elbana, N. Abbasy, A. Meghed, and N. Shaker, “µPMU-based smart adaptive protection scheme for microgrids,” Journal of Modern Power Systems and Clean Energy, vol. 7, no. 4, pp. 887–898, 2019, doi: 10.1007/s40565-019-0533-6. A. Srivastava and S. K. Parida, “Frequency and Voltage Data Processing Based Feeder Protection in Medium Voltage Microgrid,” in Proceedings of 2019 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2019, 2019. doi: 10.1109/ISGTEurope.2019.8905705. M. S. Ballal and A. R. Kulkarni, “Improvements in Existing System Integrity Protection Schemes Under Stressed Conditions by Synchrophasor Technology-Case Studies,” ACCESS, vol. 9, pp. 20788–20807, 2021, doi: 10.1109/ACCESS.2021.3054792 J. A. Lopez and C. N. Lu, “Adaptable System Integrity Protection Scheme Considering Renewable Energy Sources Output Variations,” IEEE TRANSACTIONS ON POWER SYSTEMS, vol. 35, no. 5, pp. 3459–3469, 2020, doi: 10.1109/TPWRS.2020.2975280. D. Elizondo, R. M. Gardner, and R. Leon, “Synchrophasor technology: The boom of investments and information flow from North America to Latin America,” in IEEE Power and Energy Society General Meeting, 2012. doi: 10.1109/PESGM.2012.6345638. UNIVERSIDAD DISTRITAL FRANCISCO JOSÉ DE CALDAS, “ASPECTOS GENERALES DE LAS REDES ELÉCTRICAS INTELIGENTES EN COLOMBIA,” 2020. NASPI, “TECNOLOGÍA DE SINCROFASOR HOJA DE HECHOS,” 2014. U. Department of Energy Office of Electricity Delivery and E. Reliability, “Advancement of Synchrophasor Technology in ARRA Projects │ ii ACKNOWLEDGMENTS.” D. Masters, “Duke Energy: Developing the communications platform to enable a more intelligent electric grid,” 2011. V. Zimmer, P. C. Vieira, M. Delgado Zarzosa, I. C. Decker, and M. Agostini, Aplicativo Computacional para a Caracterização de Eventos em Sistemas Elétricos Usando Sincrofasores. 2015. naspi, “Ecuador’s experiences with synchrophasor technology,” 2013. Cepeda J, Verdugo P, and Argüello G, “Monitoreo de la Estabilidad de Voltaje de Corredores de Transmisión en Tiempo Real a partir de Mediciones Sincrofasoriales”. SIEMENS, “Cero combustibles fósiles para Galápagos - Referencias Siemens Ecuador - Ecuador.” Accessed: Jan. 17, 2024. [Online]. Available: https://www.siemens.com/ec/es/productos-y-soluciones/referencias-siemens-ecuador/galapagos.html Weimar and Mark R, “THE VALUE PROPOSITION FOR SYNCHROPHASOR TECHNOLOGY ITEMIZING AND CALCULATING THE BENEFITS FROM SYNCHROPHASOR TECHNOLOGY USE Version 1.0 North American Synchrophasor Initiative NASPI Technical Report,” 2015. M. Rihan, M. Ahmad, and M. S. Beg, “Phasor measurement units in the Indian smart grid,” in 2011 IEEE PES International Conference on Innovative Smart Grid Technologies-India, ISGT India 2011, 2011, pp. 261–267. doi: 10.1109/ISET-India.2011.6145392. I. Ali, M. A. Aftab, and S. M. S. Hussain, “Performance comparison of IEC 61850-90-5 and IEEE C37.118.2 based wide area PMU communication networks,” Journal of Modern Power Systems and Clean Energy, vol. 4, no. 3, pp. 487–495, Jul. 2016, doi: 10.1007/s40565-016-0210-y. S. Ghosh, C. K. Chanda, and J. K. Das, “A Comprehensive Survey on Communication Technologies for a Grid Connected Microgrid System,” in 2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS), 2021, pp. 1525–1528. doi: 10.1109/ICAIS50930.2021.9395820. P. System Relaying Committee of the IEEE Power and E. Society, “IEEE Standard for Synchrophasor Measurements for Power Systems Sponsored by the Power System Relaying Committee IEEE Power & Energy Society,” 2011. I. Power, E. Society, and P. System Relaying, INTERNATIONAL STANDARD Measuring relays and protection equipment-Part 118-1: Synchrophasor for power systems-Measurements. 2018. [Online]. Available: www.iec.ch P. System Relaying Committee of the IEEE Power and E. Society, “IEEE Standard for Synchrophasor Data Transfer for Power Systems Sponsored by the Power System Relaying Committee IEEE Power & Energy Society,” 2011. B. Singh, N. Sharma, A. N. Tiwari, K. S. Verma, and S. Singh, “Applications of phasor measurement units (PMUs) in electric power system networks incorporated with FACTS controllers,” International Journal of Engineering, Science and Technology, vol. 3, Jul. 2011, doi: 10.4314/ijest.v3i3.68423. I. Quesada, P. Marchi, and C. Galarza, Estimadores de Estados en Redes Eléctricas Inteligentes: Mediciones SCADA y PMU. 2019. J. Mario Garzón Rey, M. M. Alberto Ríos, and P. Asociado, “APLICACIÓN DE UNIDADES DE MEDICIÓN FASORIAL (PMU) EN REDES DE DISTRIBUCION ELÉCTRICAS.” A. E. Saldaña-González, A. Sumper, M. Aragüés-Peñalba, and M. Smolnikar, “Advanced distribution measurement technologies and data applications for smart grids: A review,” Energies, vol. 13, no. 14. MDPI AG, Jul. 01, 2020. doi: 10.3390/en13143730. C.A. JUÁREZ and D.G. COLOMÉ, “TENDENCIAS EN LA SUPERVISIÓN EN TIEMPO REAL DE LA ESTABILIDAD DE PEQUEÑA SEÑAL DE SISTEMAS DE POTENCIA,” 2009. S. Sánchez and R. Leon, “Aspectos Tecnicos de una WAMS de PMUs Ya Q8Jl \| ED Rodriguez - Academia.edu.” Accessed: Jan. 17, 2024. [Online]. Available: https://www.academia.edu/9155738/_A_Aspectos_Tecnicos_de_una_WAMS_de_PMUs_Ya_Q8Jl B. Vandiver, A. Apostolov, and F. Steinhauser, “Testing of PMU Based Wide Area Monitoring and Recording Systems”. S. Ramírez, “METODOLOGÍA PARA EL MONITOREO DE ESTABILIDAD DE TENSIÓN EN TIEMPO REAL EN SISTEMAS DE POTENCIA USANDO MEDICIONES PMU,” 2018. G. Digital, “Wide Area Monitoring Systems (WAMS): PhasorPoint Applications,” 2019. Power System Engineer, “Wide Area Monitoring System WAMS & Applications.” Accessed: Oct. 04, 2022. [Online]. Available: https://www.slideshare.net/PowerSystemOperation/wide-area-monitoring-system-wams-applications SEL, “Wide-Area Situational Awareness \| Schweitzer Engineering Laboratories.” Accessed: Oct. 03, 2022. [Online]. Available: https://selinc.com/solutions/wasa/ Y. Yeung and C. K. Lau, “Exploring the application of phasor measurement units in the distribution network,” in PECon 2020 - 2020 IEEE International Conference on Power and Energy, Institute of Electrical and Electronics Engineers Inc., Dec. 2020, pp. 299–303. doi: 10.1109/PECon48942.2020.9314622. K. D. Jones, J. S. Thorp, and R. M. Gardner, “Three-phase linear state estimation using Phasor Measurements,” in IEEE Power and Energy Society General Meeting, 2013. doi: 10.1109/PESMG.2013.6672516. R. Hunt, Q. Technology Lingwei Zhan, O. Julio Romero Aguero, and Q. Technology Yilu Liu, “San Diego Gas & Electric Eric Udren, Quanta Technology Tariq Rahman,” 2021. COMISIÓN DE REGULACIÓN DE ENERGÍA Y GA, “Creg024-2005”. K. D. Jones, V. A. Centeno, J. S. Thorp, J. De, and L. Reelopez, “Three-Phase Linear State Estimation with Phasor Measurements,” 2011. “ZONA NO INTERCONECTADA (ZNI) \| CREG.” Accessed: Mar. 01, 2023. [Online]. Available: https://www.creg.gov.co/zona-no-interconectada-zni SCHEITZER ENGINEERING LABORATORIES, “Wide-Area Situational Awareness.” Accessed: Nov. 29, 2022. [Online]. Available: https://selinc.com/solutions/wasa/ “ZONAS NO INTERCONECTADAS-ZNI Diagnóstico de la prestación del servicio de energía eléctrica 2017”, Accessed: May 07, 2023. [Online]. Available: www.superservicios.gov.co A. M. Chebbo, M. R. Irving, and M. J. H. Sterling, “Voltage collapse proximity indicator: behaviour and imp1 ications.” V. Balamourougan, T. S. Sidhu, and M. S. Sachdev, “Technique for online prediction of voltage collapse,” in IEE Proceedings: Generation, Transmission and Distribution, Jul. 2004, pp. 453–460. doi: 10.1049/ip-gtd:20040612. N. Yorino, H. Sasaki, Y. Masuda, Y. Tamura, M. Kitagawa, and A. Oshimo, “An investigation of voltage instability problems,” IEEE Transactions on Power Systems, vol. 7, no. 2, pp. 600–611, 1992, doi: 10.1109/59.141765. J. A. Barrios-Gomez, F. Sanchez, G. Claudio, F. Gonzalez-Longatt, M. Acosta, and D. Topic, “RoCoF Calculation Using Low-Cost Hardware in the Loop: Multi-area Nordic Power System,” in 2020 International Conference on Smart Systems and Technologies (SST), 2020, pp. 187–192. doi: 10.1109/SST49455.2020.9264119.
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dc.format.extent.spa.fl_str_mv	115 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.faculty.spa.fl_str_mv	Facultad de Ingeniería
dc.publisher.place.spa.fl_str_mv	Bogotá, Colombia
dc.publisher.branch.spa.fl_str_mv	Universidad Nacional de Colombia - Sede Bogotá
institution	Universidad Nacional de Colombia
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spelling	Atribución-CompartirIgual 4.0 Internacionalhttp://creativecommons.org/licenses/by-sa/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Rosero Garcia, Javier Alveiro76c3208d41cd50bf54f17d2b8dcb3a1aZambrano Pinto, Álvaro Alfonso5caef378ef266b3ab94d035598ac958fUrrego Silva, Aide Johanaf6bc4451cab6305f5a973baa04c306c0Electrical Machines & Drives, Em&D2024-05-14T16:09:54Z2024-05-14T16:09:54Z2024https://repositorio.unal.edu.co/handle/unal/86073Universidad Nacional de ColombiaRepositorio Institucional Universidad Nacional de Colombiahttps://repositorio.unal.edu.co/ilustraciones, diagramasEste trabajo de tesis se enfoca en analizar la aplicación de la Estimación de Estado mediante Unidades de Medición Fasorial (PMUs) en el contexto de la operación de redes eléctricas. Se identifican diversas aplicaciones, destacando la comparación entre el uso de PMUs para el operador de red y la modificación de parámetros. Además, se propone e implementa un conjunto de aplicaciones específicas para el monitoreo y operación de la red, abordando la identificación de eventos y fallas. La evaluación de los parámetros obtenidos a través del monitoreo basado en PMUs se lleva a cabo mediante simulaciones en PowerFactory para identificar eventos, complementadas con programación en Python que utiliza mediciones de tensiones en por unidad (p.u.) y ángulos en radianes. Este análisis se realiza en el sistema eléctrico de San Andrés Isla, utilizando medidas PMU simuladas. El enfoque se dirige directamente al operador de red de San Andrés Isla, garantizando resultados robustos y precisos que permiten un seguimiento detallado de la situación del sistema eléctrico. (Texto tomado de la fuente)This thesis focuses on analyzing the application of Phasor Measurement Units (PMUs) in the context of electric power grid operation. Various applications are identified, with emphasis on comparing the use of PMUs for the network operator versus parameter modification. Additionally, a set of specific applications for network monitoring and operation is proposed and implemented, addressing the identification of events and faults. The evaluation of parameters obtained through PMU-based monitoring is conducted through simulations in PowerFactory to identify events. This is complemented by Python programming using measurements of voltages in per unit (p.u.) and angles in radians. The analysis is carried out in the electrical system of San Andrés Isla, utilizing simulated PMU measurements. The approach is directed towards the network operator of San Andrés Isla, ensuring robust and precise results that enable a detailed monitoring of the electric power system's status.MaestríaEnergía y electromagnetismo115 páginasapplication/pdfspaUniversidad Nacional de ColombiaBogotá - Ingeniería - Maestría en Ingeniería - Ingeniería EléctricaFacultad de IngenieríaBogotá, ColombiaUniversidad Nacional de Colombia - Sede Bogotá530 - Física::537 - Electricidad y electrónicaSERVICIOS DE SUMINISTRO DE ENERGIAEnergy facilitiesState estimationPhasor measurement unitsWide Area Monitoring SystemLinear state estimationWide area measurement systemVoltage monitoringPMUWAMSUnidad de medición fasorialSistema de monitoreo de área ampliaEstimación de estado linealAplicaciones del sistema de medición de área ampliaMonitoreo de tensiónEstimación de Estado Basado en Medidas PMUs. Caso de estudio: San Andrés IslaState Estimation Based on PMU Measurements. 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Topic, “RoCoF Calculation Using Low-Cost Hardware in the Loop: Multi-area Nordic Power System,” in 2020 International Conference on Smart Systems and Technologies (SST), 2020, pp. 187–192. doi: 10.1109/SST49455.2020.9264119.BibliotecariosEstudiantesInvestigadoresPúblico generalLICENSElicense.txtlicense.txttext/plain; charset=utf-85879https://repositorio.unal.edu.co/bitstream/unal/86073/1/license.txteb34b1cf90b7e1103fc9dfd26be24b4aMD51ORIGINAL1123638052.2024.pdf1123638052.2024.pdfTesis de Maestría en Ingeniería - Ingeniería Eléctricaapplication/pdf5448131https://repositorio.unal.edu.co/bitstream/unal/86073/2/1123638052.2024.pdffc65bd690efa0aed0d99c4d38a3e2590MD52THUMBNAIL1123638052.2024.pdf.jpg1123638052.2024.pdf.jpgGenerated Thumbnailimage/jpeg4985https://repositorio.unal.edu.co/bitstream/unal/86073/3/1123638052.2024.pdf.jpg0324315468535abaee447ef1b55eeedaMD53unal/86073oai:repositorio.unal.edu.co:unal/860732024-05-14 23:04:44.882Repositorio Institucional Universidad Nacional de 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Estimación de Estado Basado en Medidas PMUs. Caso de estudio: San Andrés Isla

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