Mejoras en la gestión de la función recierre de reconectadores para optimizar indicadores de calidad en la red eléctrica y su impacto en la comunidad

A reliable and continuous electrical service is essential for the development and well-being of communities, which is why preventive maintenance work is carried out daily without interrupting the electrical supply. Hand in hand with investments aimed at modernizing electrical infrastructure, which i...

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Autores:
Barros Álvarez, Martín Ángel
Tipo de recurso:
Fecha de publicación:
2024
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
spa
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/12846
Acceso en línea:
https://hdl.handle.net/11323/12846
https://repositorio.cuc.edu.co
Palabra clave:
Reclosers
Transient faults
Live working
Reconectadores
Fallas transitorias
Trabajos en tensión
Rights
openAccess
License
Atribución-NoComercial-CompartirIgual 4.0 Internacional (CC BY-NC-SA 4.0)
id RCUC2_ff00767a9d118a585e9a0af235ba3452
oai_identifier_str oai:repositorio.cuc.edu.co:11323/12846
network_acronym_str RCUC2
network_name_str REDICUC - Repositorio CUC
repository_id_str
dc.title.spa.fl_str_mv Mejoras en la gestión de la función recierre de reconectadores para optimizar indicadores de calidad en la red eléctrica y su impacto en la comunidad
title Mejoras en la gestión de la función recierre de reconectadores para optimizar indicadores de calidad en la red eléctrica y su impacto en la comunidad
spellingShingle Mejoras en la gestión de la función recierre de reconectadores para optimizar indicadores de calidad en la red eléctrica y su impacto en la comunidad
Reclosers
Transient faults
Live working
Reconectadores
Fallas transitorias
Trabajos en tensión
title_short Mejoras en la gestión de la función recierre de reconectadores para optimizar indicadores de calidad en la red eléctrica y su impacto en la comunidad
title_full Mejoras en la gestión de la función recierre de reconectadores para optimizar indicadores de calidad en la red eléctrica y su impacto en la comunidad
title_fullStr Mejoras en la gestión de la función recierre de reconectadores para optimizar indicadores de calidad en la red eléctrica y su impacto en la comunidad
title_full_unstemmed Mejoras en la gestión de la función recierre de reconectadores para optimizar indicadores de calidad en la red eléctrica y su impacto en la comunidad
title_sort Mejoras en la gestión de la función recierre de reconectadores para optimizar indicadores de calidad en la red eléctrica y su impacto en la comunidad
dc.creator.fl_str_mv Barros Álvarez, Martín Ángel
dc.contributor.advisor.none.fl_str_mv Moreno Rocha, Christian Manuel
Silva-Ortega, Jorge Iván
dc.contributor.author.none.fl_str_mv Barros Álvarez, Martín Ángel
dc.contributor.jury.none.fl_str_mv Portnoy De La Ossa, Iván
Nuñez Alvarez, Jose
Diaz Perez, Sergio
dc.subject.proposal.eng.fl_str_mv Reclosers
Transient faults
Live working
topic Reclosers
Transient faults
Live working
Reconectadores
Fallas transitorias
Trabajos en tensión
dc.subject.proposal.spa.fl_str_mv Reconectadores
Fallas transitorias
Trabajos en tensión
description A reliable and continuous electrical service is essential for the development and well-being of communities, which is why preventive maintenance work is carried out daily without interrupting the electrical supply. Hand in hand with investments aimed at modernizing electrical infrastructure, which includes the installation of new reclosers, it is important to optimally manage this equipment to take full advantage of the advantages they offer. In the company under study, a deficiency was observed in its internal procedure regarding the request, approval and execution of scheduled works in voltage at a level of 13.8 kV. It has been found that there is no specification of the reclosing scheme of the reclosers that have an impact on the work areas. when starting work, the reclosing of all the reclosers associated with the circuits involved in the work is deactivated. the jobs. The company has downplayed the impact that this condition may have on quality indicators and on the community it serves, therefore, this research first aims to demonstrate the consequences of this deficiency in the provision of electric energy service, and additionally propose applicable improvements with the objective of mitigating the exposed effects. This research focuses on analyzing indicators linked to failures at 13.8 kV, establishing the classification between these failures and reclosing management and evaluating the general impact on service quality indicators during scheduled live work. With the proposals to improve the management of reclosing of reclosers during scheduled live work, the aim is not only to comply with regulations and standards, but also to improve the quality of electrical service for the community served by the company. This strategic approach not only benefits businesses in terms of operational efficiency and regulatory compliance, but also directly contributes to the well-being and trust of end users
publishDate 2024
dc.date.accessioned.none.fl_str_mv 2024-04-11T14:46:28Z
dc.date.available.none.fl_str_mv 2024-04-11T14:46:28Z
dc.date.issued.none.fl_str_mv 2024
dc.type.spa.fl_str_mv Trabajo de grado - Maestría
dc.type.content.spa.fl_str_mv Text
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/masterThesis
dc.type.redcol.spa.fl_str_mv http://purl.org/redcol/resource_type/TM
dc.type.version.spa.fl_str_mv info:eu-repo/semantics/acceptedVersion
status_str acceptedVersion
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/11323/12846
dc.identifier.instname.spa.fl_str_mv Corporación Universidad de la Costa
dc.identifier.reponame.spa.fl_str_mv REDICUC - Repositorio CUC
dc.identifier.repourl.spa.fl_str_mv https://repositorio.cuc.edu.co
url https://hdl.handle.net/11323/12846
https://repositorio.cuc.edu.co
identifier_str_mv Corporación Universidad de la Costa
REDICUC - Repositorio CUC
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language spa
dc.relation.references.spa.fl_str_mv Admass, W. S., & Bogale, G. A. (2024). Arrhythmia classification using ECG signal: A meta-heuristic improvement of optimal weighted feature integration and attention-based hybrid deep learning model. Biomedical Signal Processing and Control, 87(PB), 105565. https://doi.org/10.1016/j.bspc.2023.105565
Alsina, & J. (2012). Fundamentos metodológicos y teóricos de la investigación: las relaciones existentes entre las prácticas educativas familiares, el clima social familiar de los padres y el desarrollo de Habilidades sociales en niños y niñas entre 2 y 3 años de edad de nive. Revista Colombiana de Ciencias Sociales, 3(2), 290–301.
Amin, A., Mahmood, A., Khan, A. R., Arshad, K., Assaleh, K., & Zoha, A. (2023). A Two-Stage Multi-Agent EV Charging Coordination Scheme for Maximizing Grid Performance and Customer Satisfaction. Sensors, 23(6). https://doi.org/10.3390/s23062925
Ana María Martínez de Sánchez. (2013). Diseño De Investigación. Principios Teórico Metodológicos Y Prácticos Para Su Concreción. Anuario Escuela de Archivología, 0(4), 067–103.
Astolfi, D., Pandit, R., Celesti, L., Vedovelli, M., Lombardi, A., & Terzi, L. (2022). Data Driven Assessment of Wind Turbine Performance Decline with Age and Interpretation Based on Comparative Test Case Analysis. Sensors, 22(9). https://doi.org/10.3390/s22093180
Beretta, M., Julian, A., Sepulveda, J., Cusidó, J., & Porro, O. (2021). An ensemble learning solution for predicitive manintenance of wind turbines main bearing. Sensors, 21(4), 1–19. https://doi.org/10.3390/s21041512
Betti, A., Tucci, M., Crisostomi, E., Piazzi, A., Barmada, S., & Thomopulos, D. (2021). Fault prediction and early-detection in large pv power plants based on self-organizing maps. Sensors, 21(5), 1–16. https://doi.org/10.3390/s21051687
Ciancetta, F., Fioravanti, A., Fiorucci, E., Mari, S., Prudenzi, A., & Silvestri, A. (2023). Micro Phasor Measurement Units: a Review from the Prosumer Point of View. Renewable Energy and Power Quality Journal, 21(21), 303–308. https://doi.org/10.24084/repqj21.307 Coelli, S., Calcagno, A., Cassani, C. M., Temporiti, F., Reali, P., Gatti, R., Galli, M., &
Bianchi, A. M. (2024). Selecting methods for a modular EEG pre-processing pipeline: An objective comparison. Biomedical Signal Processing and Control, 90(August 2022), 105830. https://doi.org/10.1016/j.bspc.2023.105830
Ćwikła, G., & Paprocka, I. (2023). Condition-Based Failure-Free Time Estimation of a Pump. Sensors, 23(4). https://doi.org/10.3390/s23041785
Dunkelberger, N., Berning, J., Schearer, E. M., & O’Malley, M. K. (2023). Hybrid FES exoskeleton control: Using MPC to distribute actuation for elbow and wrist movements. Frontiers in Neurorobotics, 17. https://doi.org/10.3389/fnbot.2023.1127783
Fang, Y., Wang, Y., Liu, C., & Cai, G. (2022). Modified Approach of Manufacturer’s Power Curve Based on Improved Bins and K-Means++ Clustering. Sensors, 22(21). https://doi.org/10.3390/s22218133
Fernandes, S. V., João, D. V., Cardoso, B. B., Martins, M. A. I., & Carvalho, E. G. (2022). Digital Twin Concept Developing on an Electrical Distribution System—An Application Case. Energies, 15(8), 1–22. https://doi.org/10.3390/en15082836
Ferraz, R. S. F., Ferraz, R. S. F., & Rueda–Medina, A. C. (2023). Multi-objective Optimization Approach for Allocation and Sizing of Distributed Energy Resources Preserving the Protection Scheme in Distribution Networks. Journal of Control, Automation and Electrical Systems, 34(5), 1080–1092. https://doi.org/10.1007/s40313-023-01030-4
García-González, J. R., & Sánchez-Sánchez, P. A. (2021). Theoretical design of research: Methodological instructions for the development of scientific research proposals and projects. Informacion Tecnologica, 31(6), 159–170. https://doi.org/10.4067/S0718-07642020000600159
Ghosh, B., Chakraborty, A. K., & Bhowmik, A. R. (2023). Reliability and efficiency enhancement of a radial distribution system through value-based auto-recloser placement and network remodelling. Protection and Control of Modern Power Systems, 8(1), 1–14. https://doi.org/10.1186/s41601-022-00274-7
Guanochanga, E., Águila, A., & Ortiz, L. (2023). Multicriteria analysis for optimal reconfiguration of a distribution network in case of failures. Heliyon, 9(3). https://doi.org/10.1016/j.heliyon.2023.e13723
Havlik, D., Schade, S., Sabeur, Z. A., Mazzetti, P., Watson, K., Berre, A. J., & Mon, J. L. (2011). From sensor to observation web with environmental enablers in the future internet. In Sensors (Vol. 11, Issue 4). https://doi.org/10.3390/s110403874
Hefkaluk, N., Linehan, C., & Trace, A. (2024). Fail, fail again, fail better: How players who enjoy challenging games persist after failure in “Celeste.” International Journal of Human Computer Studies, 183(July 2023), 103199. https://doi.org/10.1016/j.ijhcs.2023.103199 Ibrahim, H. A., Qahtan, S., Zaidan, A. A., Deveci, M., Hajiaghaei-Keshteli, M.,
Mohammed, R. T., & Alamoodi, A. H. (2024). Sustainability in mobility for autonomous vehicles over smart city evaluation; using interval-valued fermatean fuzzy rough set-based decision-making model. Engineering Applications of Artificial Intelligence, 129(December 2023), 107609. https://doi.org/10.1016/j.engappai.2023.107609
Kang, H., & Li, C. (2023). A Novel Time Evolution-Based Cascading Failure Model Considering Auto-Reclosers. IEEE Transactions on Circuits and Systems II: Express Briefs, 70(4), 1570–1574. https://doi.org/10.1109/TCSII.2022.3225094
Kaňovská, L., & Bumberová, V. (2021). The differences in the propensity of providing smart services by smes from the electrical engineering industry with regard to their cooperation and innovation flexibility. Sustainability (Switzerland), 13(9). https://doi.org/10.3390/su13095008
Kim, S., Wang, S. X., & Lee, J. R. (2023). Real-time temperature correction for magnetoresistive biosensors integrated with temperature modulator. Biosensors and Bioelectronics: X, 14(February), 100356. https://doi.org/10.1016/j.biosx.2023.100356 Krishnamoorthy, U., Karthika, V., Mathumitha, M. K., Panchal, H., Jatti, V. K. S., &
Kumar, A. (2024). Learned prediction of cholesterol and glucose using ARIMA and LSTM models – A comparison. Results in Control and Optimization, 14(October 2023), 100362. https://doi.org/10.1016/j.rico.2023.100362Lecieux, Y., Rozière, E., Gaillard, V., Lupi, C., Leduc, D., Priou, J., Guyard, R.,
Chevreuil, M., & Schoefs, F. (2019). Monitoring of a reinforced concrete wharf using structural health monitoring system and material testing. Journal of Marine Science and Engineering, 7(4), 1–26. https://doi.org/10.3390/jmse7040084 Letizia, P. S., Crotti, G., Mingotti, A., Tinarelli, R., Chen, Y., Mohns, E., Agazar, M.,
Istrate, D., Ayhan, B., Çayci, H., & Stiegler, R. (2023). Characterization of Instrument Transformers under Realistic Conditions: Impact of Single and Combined Influence Quantities on Their Wideband Behavior. Sensors, 23(18). https://doi.org/10.3390/s23187833
Li, C., Xiao, C., Zhan, L., Zhang, Z., Xing, J., Zhai, J., Zhou, Z., Tan, G., Piao, J., Zhou, Y., Qi, S., Wang, Z., Yu, P., & Ning, C. (2022). Wireless electrical stimulation at the nanoscale interface induces tumor vascular normalization. Bioactive Materials, 18(March), 399–408. https://doi.org/10.1016/j.bioactmat.2022.03.027
Liu, L., Lai, Y., Cao, J., Peng, Y., Tian, T., & Fu, W. (2022). Exploring the Antibacterial and Biosensing Applications of Peroxidase-Mimetic Ni0.1Cu0.9S Nanoflower. Biosensors, 12(10). https://doi.org/10.3390/bios12100874
Liu, T., Zhang, Q., Li, H., Cui, X., Qi, Z., & Yang, X. (2023). An injectable, self-healing, electroconductive hydrogel loaded with neural stem cells and donepezil for enhancing local therapy effect of spinal cord injury. Journal of Biological Engineering, 17(1), 1–20. https://doi.org/10.1186/s13036-023-00368-2
Llerena-Pizarro, O. R., Micena, R. P., Tuna, C. E., & Silveira, J. L. (2019). Electricity sector in the Galapagos Islands: Current status, renewable sources, and hybrid power generation system proposal. Renewable and Sustainable Energy Reviews, 108(February), 65–75. https://doi.org/10.1016/j.rser.2019.03.043
Ma, R., Sun, H., & Qin, L. (2023). An Emergency Coordinated Control Strategy to Improve the Transient Stability of a Single-Ended Distribution Network with Flexible Interconnection Channel Blocking. Sensors (Basel, Switzerland), 23(20). https://doi.org/10.3390/s23208467
Maghfiroh, H., Saputro, J. S., Andriany, B. S., Hermanu, C., Anwar, M., Nizam, M., & Ma’arif, A. (2023). Smart Home System With Battery Backup and Internet of Things. Journal of Applied Engineering and Technological Science, 5(1), 42–57. https://doi.org/10.37385/jaets.v5i1.1969
Martinez L. (2012). El diseño de investigación en educación: conceptos actuales. Investigación en Educación Médica [revista en Internet] 2014 [acceso 8 de junio de 2022]; 1(1): 35-39.
Masrur Ahmed, A. A., Bailek, N., Abualigah, L., Bouchouicha, K., Kuriqi, A., Sharifi, A., Sareh, P., Al khatib, A. M. G., Mishra, P., Colak, I., & El-kenawy, E. S. M. (2023). Global control of electrical supply: A variational mode decomposition-aided deep learning model for energy consumption prediction. Energy Reports, 10, 2152–2165. https://doi.org/10.1016/j.egyr.2023.08.076
Ministerio de la protección social. (30 de abril de 2009). Resolución 001348/2009. Por la cual se adopta el Reglamento de Salud Ocupacional en los Procesos de Generación, Transmisión y Distribución de Energía Eléctrica en las empresas del sector eléctrico. https://www.funcionpublica.gov.co/eva/gestornormativo/norma.php?i=36213
Montoya G, O. D., Hincapié I, R. A., & Granada E, M. (2016). Nuevo enfoque para la localización óptima de reconectadores en sistemas de distribución considerando la calidad del servicio y los costos de inversión. Ingeniare. Revista Chilena de Ingeniería, 24(1), 55–69. https://doi.org/10.4067/s0718-33052016000100006
Mubarak, H., Muhammad, M. A., Mansor, N. N., Mokhlis, H., Ahmad, S., Ahmed, T., & Sufyan, M. (2022). Operational Cost Minimization of Electrical Distribution Network during Switching for Sustainable Operation. Sustainability (Switzerland), 14(7), 1–23. https://doi.org/10.3390/su14074196
Musleh, D. A., & Al Metrik, M. A. (2023). Machine Learning and Bagging to Predict Midterm Electricity Consumption in Saudi Arabia. Applied System Innovation, 6(4). https://doi.org/10.3390/asi6040065
Papingiotis, T., Korres, D. N., Koronaki, I., & Tzivanidis, C. (2023). Energetical and Exergetical Analyses of a Concentrating PV/T Collector: A Numerical Approach. Applied Sciences (Switzerland), 13(19). https://doi.org/10.3390/app131910669 Pasquale, G., Lopriore, E., Sun, Z., Čerņevičs, K., Tagarelli, F., Watanabe, K., Taniguchi,
T., Yazyev, O. V., & Kis, A. (2023). Electrical detection of the flat-band dispersion in van der Waals field-effect structures. Nature Nanotechnology, 18(December), 1416–1423. https://doi.org/10.1038/s41565-023-01489-x
Perez, R., Vásquez, C., & Viloria, A. (2019). An intelligent strategy for faults location in distribution networks with distributed generation. Journal of Intelligent and Fuzzy Systems, 36(2), 1627–1637. https://doi.org/10.3233/JIFS-18807Pessoa, D., Rocha, B. M., Gomes, M., Rodrigues, G., Petmezas, G., Cheimariotis, G. A.,
Maglaveras, N., Marques, A., Frerichs, I., de Carvalho, P., & Paiva, R. P. (2024). Ensemble deep learning model for dimensionless respiratory airflow estimation using respiratory sound. Biomedical Signal Processing and Control, 87(PA), 105451. https://doi.org/10.1016/j.bspc.2023.105451
Ponce, D., Aguila Téllez, A., & Krishnan, N. (2023). Optimal Selection of Conductors in Distribution System Designs Using Multi-Criteria Decision. Energies, 16(20). https://doi.org/10.3390/en16207167
Popov, V., Tkachenko, V., Sakhragard, S. B., & Zhuravlov, A. (2015). Distinctive features of analysis of reliability of overhead distribution networks with sources of distributed generation. Eastern-European Journal of Enterprise Technologies, 3(8), 26–32.https://doi.org/10.15587/1729-4061.2015.42477
Rehman, A., Koondhar, M. A., Ali, Z., Jamali, M., & El-Sehiemy, R. A. (2023). Critical Issues of Optimal Reactive Power Compensation Based on an HVAC Transmission System for an Offshore Wind Farm. Sustainability (Switzerland), 15(19). https://doi.org/10.3390/su151914175
Reiz, C., Pereira, C. E. M., & Leite, J. B. (2023). A Self-Healing Strategy for Modern Distribution Networks. Energies, 16(16). https://doi.org/10.3390/en16165890 Saghebasl, S., Nobakht, A., Saghebasl, H., Hayati, S., Naturi, O., & Rahbarghazi, R. (2023). Sandwich-like electro-conductive polyurethane-based gelatin/soybean oil nanofibrous scaffolds with a targeted release of simvastatin for cardiac tissue engineering. Journal of Biological Engineering, 17(1), 1–13. https://doi.org/10.1186/s13036-023-00364-6
Salonitis, K. (2023). Predicting Cybersecurity Threats in Critical Infrastructure for. Scharnhorst, L., Sloot, D., Lehmann, N., Ardone, A., & Fichtner, W. (2024). Barriers to demand response in the commercial and industrial sectors – An empirical investigation. Renewable and Sustainable Energy Reviews, 190(PB), 114067. https://doi.org/10.1016/j.rser.2023.114067
Selema, A. (2023). Material Tradeoff of Rotor Architecture for Lightweight Low-Loss Cost-Effective Sustainable Electric Drivetrains. Sustainability (Switzerland), 15(19). https://doi.org/10.3390/su151914413
Sgambitterra, E., Greco, C., Rodinò, S., Niccoli, F., Furgiuele, F., & Maletta, C. (2023). Fully coupled electric-thermo-mechanical model for predicting the response of a SMA wire activated by electrical input. Sensors and Actuators A: Physical, 362(May). https://doi.org/10.1016/j.sna.2023.114643
Song, C.-J., & Park, J.-Y. (2023). Design of Fire Risk Estimation Method Based on Facility Data for Thermal Power Plants. Sensors, 23(21), 8967. https://doi.org/10.3390/s23218967
Suárez-Montes, N. D., Sáenz-Gavilanes, J. V, & Mero-Vélez, J. M. (2016). Elementos esenciales del diseño de la investigación. Sus características. Domino de Las Ciencias, 2(3), 72–85.
Tai, Y., Tonmoy, T. I., Win, S., Brinkley, N. T., Park, B. H., & Nam, J. (2023). Enhanced peripheral nerve regeneration by mechano-electrical stimulation. Npj Regenerative Medicine, 8(1). https://doi.org/10.1038/s41536-023-00334-y
Téllez, A. A., & Ortiz, L. (2023). Optimal Location of Reclosers in Electrical Distribution Systems Considering Multicriteria Decision Through the Generation of Scenarios Using the Montecarlo Method. 11(February), 68853–68871. https://doi.org/10.1109/ACCESS.2023.3252411
Torres, J., Torres, M., & Torres, J. (2013). Estrategias efectivas para mejorar la calidad del servicio de energía eléctrica de un sistema de distribución eléctrico. Yachana, 2(2), 89–93.
Vallejo, M. (2002). El diseño de investigación: una breve revisión metodológica. Archivos de Cardiologia de Mexico, 72(1), 8–12.
Wang, J., Liu, P., He, M., Yu, G., & Tian, H. (2024). Floor heave mechanism for gob side entry retaining with concrete blocks and control method: A case study. Underground Space, 15, 244–259. https://doi.org/10.1016/j.undsp.2023.09.002Wang, K., Sun, C., Dumčius, P., Zhang, H., Liao, H., Wu, Z., Tian, L., Peng, W., Fu, Y.,
Wei, J., Cai, M., Zhong, Y., Li, X., Yang, X., & Cui, M. (2023). Open source board based acoustofluidic transwells for reversible disruption of the blood–brain barrier for therapeutic delivery. Biomaterials Research, 27(1), 1–16. https://doi.org/10.1186/s40824-023-00406-6
Yang, Y. S., Lee, S. H., Chen, W. C., Yang, C. S., Huang, Y. M., & Hou, T. W. (2021). Ttas: Trusted token authentication service of securing scada network in energy management system for industrial internet of things. Sensors, 21(8). https://doi.org/10.3390/s21082685 Zarzycki, K., Chaber, P., Cabaj, K., Ławryńczuk, M., Marusak, P., Nebeluk, R.,
Plamowski, S., & Wojtulewicz, A. (2023). Forgery Cyber-Attack Supported by LSTM Neural Network: An Experimental Case Study. Sensors, 23(15), 1–17. https://doi.org/10.3390/s23156778
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spelling Atribución-NoComercial-CompartirIgual 4.0 Internacional (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Moreno Rocha, Christian Manuel 51a075f66dc02c5d90ad4b048893b12c600Silva-Ortega, Jorge Iván9e1ac43f5e30edbb3415c6cacfb49b59600Barros Álvarez, Martín Ángeld89f3c45276d2ffca0d52e062b922416Portnoy De La Ossa, IvánNuñez Alvarez, JoseDiaz Perez, Sergio2024-04-11T14:46:28Z2024-04-11T14:46:28Z2024https://hdl.handle.net/11323/12846Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.coA reliable and continuous electrical service is essential for the development and well-being of communities, which is why preventive maintenance work is carried out daily without interrupting the electrical supply. Hand in hand with investments aimed at modernizing electrical infrastructure, which includes the installation of new reclosers, it is important to optimally manage this equipment to take full advantage of the advantages they offer. In the company under study, a deficiency was observed in its internal procedure regarding the request, approval and execution of scheduled works in voltage at a level of 13.8 kV. It has been found that there is no specification of the reclosing scheme of the reclosers that have an impact on the work areas. when starting work, the reclosing of all the reclosers associated with the circuits involved in the work is deactivated. the jobs. The company has downplayed the impact that this condition may have on quality indicators and on the community it serves, therefore, this research first aims to demonstrate the consequences of this deficiency in the provision of electric energy service, and additionally propose applicable improvements with the objective of mitigating the exposed effects. This research focuses on analyzing indicators linked to failures at 13.8 kV, establishing the classification between these failures and reclosing management and evaluating the general impact on service quality indicators during scheduled live work. With the proposals to improve the management of reclosing of reclosers during scheduled live work, the aim is not only to comply with regulations and standards, but also to improve the quality of electrical service for the community served by the company. This strategic approach not only benefits businesses in terms of operational efficiency and regulatory compliance, but also directly contributes to the well-being and trust of end usersUn servicio de energía eléctrica confiable y seguro es relevante para el desarrollo y el bienestar de las comunidades, por lo cual a diario se ejecutan trabajos de mantenimiento preventivo sin interrumpir suministro eléctrico. Con la inversión dirigida hacia la modernización de la infraestructura eléctrica, que incluye la instalación de nuevos reconectadores, es esencial llevar a cabo una gestión eficiente de estos dispositivos para maximizar las ventajas que proporcionan. En la empresa bajo estudio, se observó una deficiencia en su procedimiento interno en lo que respeta a la solicitud, aprobación y ejecución de trabajos programados en tensión a nivel de 13,8 kV. Se ha constatado que existe una nula especificación del esquema de recierre de los reconectadores que tienen incidencia en las zonas de trabajo, por lo cual, al momento de iniciar labores, se procede a desactivar el recierre de todos los reconectadores asociados a los circuitos involucrados en los trabajos. La compañía ha restado importancia al impacto que puede tener esta condición en los indicadores de calidad y en la comunidad a la que sirve, por lo tanto, esta investigación en primer lugar pretende demostrar las consecuencias tiene esta deficiencia en la prestación del servicio de energía eléctrica, y adicionalmente proponer mejoras aplicables con el objetivo de mitigar las afectaciones expuestas. Esta investigación se enfoca en analizar indicadores vinculados a fallas a 13,8 kV, establecer la correlación entre estas fallas y la gestión del recierre y evaluar el impacto general en los indicadores de calidad del servicio durante trabajos programados en tensión. Con las propuestas de mejora en la gestión del recierre de reconectadores durante trabajos programados en tensión, se busca no solo cumplir con regulaciones y normativas, sino también mejorar la calidad del servicio eléctrico para la comunidad atendida por la empresa. Este enfoque estratégico no solo beneficia a las empresas en términos de eficiencia operativa y cumplimiento normativo, sino que también contribuye directamente al bienestar y la confianza de los usuarios finales.Capítulo 1: -- Generalidades 14 –Introducción 14 -- Planteamiento del Problema y Pregunta Problema 19 -- Justificación de la investigación 21 -- Objetivos de la investigación 24 -- Alcance de la investigación 25 --Capítulo 2: Marco Teórico 27 –Introducción 27 –Antecedentes 27 -- Descripción de los Reconectadores 33 --Clasificación de los Reconectadores 34 -- Sistemas Eléctricos 38 -- Sistemas SCADA 40 -- Calidad del Servicio Técnico 42 -- Capítulo 3: Metodología 44 –Introducción 44 --Metodología Implementada 46 -- Capítulo 4: Resultados 51 -- Indicadores Vinculados a Fallas Transitorias a 13,8 kV en Reconectadores 51-- Registro de Trabajos Programados en Tensión a Nivel de 13,8 kV 55 -- Análisis Comparativo de Datos de Interrupciones y Mantenimientos Programados en Tensión a Nivel de 13,8 kV 56 – Análisis Individual para Determinar Recierres de Reconectadores Desactivados Innecesariamente 57 -- Consecuencias de Recierres Desactivados Innecesariamente en Reconectadores a 13,8 kV Durante Trabajos Programados en Tensión 59 --Recomendaciones 67 –Conclusiones 69 -- Referencias 72 --Magíster en IngenieríaMaestría81 páginasapplication/pdfspaCorporación Universidad de la CostaProductividad e InnovaciónBarranquilla, ColombiaMaestría en IngenieríaMejoras en la gestión de la función recierre de reconectadores para optimizar indicadores de calidad en la red eléctrica y su impacto en la comunidadTrabajo de grado - MaestríaTextinfo:eu-repo/semantics/masterThesishttp://purl.org/redcol/resource_type/TMinfo:eu-repo/semantics/acceptedVersionAdmass, W. S., & Bogale, G. A. (2024). Arrhythmia classification using ECG signal: A meta-heuristic improvement of optimal weighted feature integration and attention-based hybrid deep learning model. Biomedical Signal Processing and Control, 87(PB), 105565. https://doi.org/10.1016/j.bspc.2023.105565Alsina, & J. (2012). Fundamentos metodológicos y teóricos de la investigación: las relaciones existentes entre las prácticas educativas familiares, el clima social familiar de los padres y el desarrollo de Habilidades sociales en niños y niñas entre 2 y 3 años de edad de nive. Revista Colombiana de Ciencias Sociales, 3(2), 290–301.Amin, A., Mahmood, A., Khan, A. R., Arshad, K., Assaleh, K., & Zoha, A. (2023). A Two-Stage Multi-Agent EV Charging Coordination Scheme for Maximizing Grid Performance and Customer Satisfaction. Sensors, 23(6). https://doi.org/10.3390/s23062925Ana María Martínez de Sánchez. (2013). Diseño De Investigación. Principios Teórico Metodológicos Y Prácticos Para Su Concreción. Anuario Escuela de Archivología, 0(4), 067–103.Astolfi, D., Pandit, R., Celesti, L., Vedovelli, M., Lombardi, A., & Terzi, L. (2022). Data Driven Assessment of Wind Turbine Performance Decline with Age and Interpretation Based on Comparative Test Case Analysis. Sensors, 22(9). https://doi.org/10.3390/s22093180Beretta, M., Julian, A., Sepulveda, J., Cusidó, J., & Porro, O. (2021). An ensemble learning solution for predicitive manintenance of wind turbines main bearing. Sensors, 21(4), 1–19. https://doi.org/10.3390/s21041512Betti, A., Tucci, M., Crisostomi, E., Piazzi, A., Barmada, S., & Thomopulos, D. (2021). Fault prediction and early-detection in large pv power plants based on self-organizing maps. Sensors, 21(5), 1–16. https://doi.org/10.3390/s21051687Ciancetta, F., Fioravanti, A., Fiorucci, E., Mari, S., Prudenzi, A., & Silvestri, A. (2023). Micro Phasor Measurement Units: a Review from the Prosumer Point of View. Renewable Energy and Power Quality Journal, 21(21), 303–308. https://doi.org/10.24084/repqj21.307 Coelli, S., Calcagno, A., Cassani, C. M., Temporiti, F., Reali, P., Gatti, R., Galli, M., &Bianchi, A. M. (2024). Selecting methods for a modular EEG pre-processing pipeline: An objective comparison. Biomedical Signal Processing and Control, 90(August 2022), 105830. https://doi.org/10.1016/j.bspc.2023.105830Ćwikła, G., & Paprocka, I. (2023). Condition-Based Failure-Free Time Estimation of a Pump. Sensors, 23(4). https://doi.org/10.3390/s23041785Dunkelberger, N., Berning, J., Schearer, E. M., & O’Malley, M. K. (2023). Hybrid FES exoskeleton control: Using MPC to distribute actuation for elbow and wrist movements. Frontiers in Neurorobotics, 17. https://doi.org/10.3389/fnbot.2023.1127783Fang, Y., Wang, Y., Liu, C., & Cai, G. (2022). Modified Approach of Manufacturer’s Power Curve Based on Improved Bins and K-Means++ Clustering. Sensors, 22(21). https://doi.org/10.3390/s22218133Fernandes, S. V., João, D. V., Cardoso, B. B., Martins, M. A. I., & Carvalho, E. G. (2022). Digital Twin Concept Developing on an Electrical Distribution System—An Application Case. Energies, 15(8), 1–22. https://doi.org/10.3390/en15082836Ferraz, R. S. F., Ferraz, R. S. F., & Rueda–Medina, A. C. (2023). Multi-objective Optimization Approach for Allocation and Sizing of Distributed Energy Resources Preserving the Protection Scheme in Distribution Networks. Journal of Control, Automation and Electrical Systems, 34(5), 1080–1092. https://doi.org/10.1007/s40313-023-01030-4García-González, J. R., & Sánchez-Sánchez, P. A. (2021). Theoretical design of research: Methodological instructions for the development of scientific research proposals and projects. Informacion Tecnologica, 31(6), 159–170. https://doi.org/10.4067/S0718-07642020000600159Ghosh, B., Chakraborty, A. K., & Bhowmik, A. R. (2023). Reliability and efficiency enhancement of a radial distribution system through value-based auto-recloser placement and network remodelling. Protection and Control of Modern Power Systems, 8(1), 1–14. https://doi.org/10.1186/s41601-022-00274-7Guanochanga, E., Águila, A., & Ortiz, L. (2023). Multicriteria analysis for optimal reconfiguration of a distribution network in case of failures. Heliyon, 9(3). https://doi.org/10.1016/j.heliyon.2023.e13723Havlik, D., Schade, S., Sabeur, Z. A., Mazzetti, P., Watson, K., Berre, A. J., & Mon, J. L. (2011). From sensor to observation web with environmental enablers in the future internet. In Sensors (Vol. 11, Issue 4). https://doi.org/10.3390/s110403874Hefkaluk, N., Linehan, C., & Trace, A. (2024). Fail, fail again, fail better: How players who enjoy challenging games persist after failure in “Celeste.” International Journal of Human Computer Studies, 183(July 2023), 103199. https://doi.org/10.1016/j.ijhcs.2023.103199 Ibrahim, H. A., Qahtan, S., Zaidan, A. A., Deveci, M., Hajiaghaei-Keshteli, M.,Mohammed, R. T., & Alamoodi, A. H. (2024). Sustainability in mobility for autonomous vehicles over smart city evaluation; using interval-valued fermatean fuzzy rough set-based decision-making model. Engineering Applications of Artificial Intelligence, 129(December 2023), 107609. https://doi.org/10.1016/j.engappai.2023.107609Kang, H., & Li, C. (2023). A Novel Time Evolution-Based Cascading Failure Model Considering Auto-Reclosers. IEEE Transactions on Circuits and Systems II: Express Briefs, 70(4), 1570–1574. https://doi.org/10.1109/TCSII.2022.3225094Kaňovská, L., & Bumberová, V. (2021). The differences in the propensity of providing smart services by smes from the electrical engineering industry with regard to their cooperation and innovation flexibility. Sustainability (Switzerland), 13(9). https://doi.org/10.3390/su13095008Kim, S., Wang, S. X., & Lee, J. R. (2023). Real-time temperature correction for magnetoresistive biosensors integrated with temperature modulator. Biosensors and Bioelectronics: X, 14(February), 100356. https://doi.org/10.1016/j.biosx.2023.100356 Krishnamoorthy, U., Karthika, V., Mathumitha, M. K., Panchal, H., Jatti, V. K. S., &Kumar, A. (2024). Learned prediction of cholesterol and glucose using ARIMA and LSTM models – A comparison. Results in Control and Optimization, 14(October 2023), 100362. https://doi.org/10.1016/j.rico.2023.100362Lecieux, Y., Rozière, E., Gaillard, V., Lupi, C., Leduc, D., Priou, J., Guyard, R.,Chevreuil, M., & Schoefs, F. (2019). Monitoring of a reinforced concrete wharf using structural health monitoring system and material testing. Journal of Marine Science and Engineering, 7(4), 1–26. https://doi.org/10.3390/jmse7040084 Letizia, P. S., Crotti, G., Mingotti, A., Tinarelli, R., Chen, Y., Mohns, E., Agazar, M.,Istrate, D., Ayhan, B., Çayci, H., & Stiegler, R. (2023). Characterization of Instrument Transformers under Realistic Conditions: Impact of Single and Combined Influence Quantities on Their Wideband Behavior. Sensors, 23(18). https://doi.org/10.3390/s23187833Li, C., Xiao, C., Zhan, L., Zhang, Z., Xing, J., Zhai, J., Zhou, Z., Tan, G., Piao, J., Zhou, Y., Qi, S., Wang, Z., Yu, P., & Ning, C. (2022). Wireless electrical stimulation at the nanoscale interface induces tumor vascular normalization. Bioactive Materials, 18(March), 399–408. https://doi.org/10.1016/j.bioactmat.2022.03.027Liu, L., Lai, Y., Cao, J., Peng, Y., Tian, T., & Fu, W. (2022). Exploring the Antibacterial and Biosensing Applications of Peroxidase-Mimetic Ni0.1Cu0.9S Nanoflower. Biosensors, 12(10). https://doi.org/10.3390/bios12100874Liu, T., Zhang, Q., Li, H., Cui, X., Qi, Z., & Yang, X. (2023). An injectable, self-healing, electroconductive hydrogel loaded with neural stem cells and donepezil for enhancing local therapy effect of spinal cord injury. Journal of Biological Engineering, 17(1), 1–20. https://doi.org/10.1186/s13036-023-00368-2Llerena-Pizarro, O. R., Micena, R. P., Tuna, C. E., & Silveira, J. L. (2019). Electricity sector in the Galapagos Islands: Current status, renewable sources, and hybrid power generation system proposal. Renewable and Sustainable Energy Reviews, 108(February), 65–75. https://doi.org/10.1016/j.rser.2019.03.043Ma, R., Sun, H., & Qin, L. (2023). An Emergency Coordinated Control Strategy to Improve the Transient Stability of a Single-Ended Distribution Network with Flexible Interconnection Channel Blocking. Sensors (Basel, Switzerland), 23(20). https://doi.org/10.3390/s23208467Maghfiroh, H., Saputro, J. S., Andriany, B. S., Hermanu, C., Anwar, M., Nizam, M., & Ma’arif, A. (2023). Smart Home System With Battery Backup and Internet of Things. Journal of Applied Engineering and Technological Science, 5(1), 42–57. https://doi.org/10.37385/jaets.v5i1.1969Martinez L. (2012). El diseño de investigación en educación: conceptos actuales. Investigación en Educación Médica [revista en Internet] 2014 [acceso 8 de junio de 2022]; 1(1): 35-39.Masrur Ahmed, A. A., Bailek, N., Abualigah, L., Bouchouicha, K., Kuriqi, A., Sharifi, A., Sareh, P., Al khatib, A. M. G., Mishra, P., Colak, I., & El-kenawy, E. S. M. (2023). Global control of electrical supply: A variational mode decomposition-aided deep learning model for energy consumption prediction. Energy Reports, 10, 2152–2165. https://doi.org/10.1016/j.egyr.2023.08.076Ministerio de la protección social. (30 de abril de 2009). Resolución 001348/2009. Por la cual se adopta el Reglamento de Salud Ocupacional en los Procesos de Generación, Transmisión y Distribución de Energía Eléctrica en las empresas del sector eléctrico. https://www.funcionpublica.gov.co/eva/gestornormativo/norma.php?i=36213Montoya G, O. D., Hincapié I, R. A., & Granada E, M. (2016). Nuevo enfoque para la localización óptima de reconectadores en sistemas de distribución considerando la calidad del servicio y los costos de inversión. Ingeniare. Revista Chilena de Ingeniería, 24(1), 55–69. https://doi.org/10.4067/s0718-33052016000100006Mubarak, H., Muhammad, M. A., Mansor, N. N., Mokhlis, H., Ahmad, S., Ahmed, T., & Sufyan, M. (2022). Operational Cost Minimization of Electrical Distribution Network during Switching for Sustainable Operation. Sustainability (Switzerland), 14(7), 1–23. https://doi.org/10.3390/su14074196Musleh, D. A., & Al Metrik, M. A. (2023). Machine Learning and Bagging to Predict Midterm Electricity Consumption in Saudi Arabia. Applied System Innovation, 6(4). https://doi.org/10.3390/asi6040065Papingiotis, T., Korres, D. N., Koronaki, I., & Tzivanidis, C. (2023). Energetical and Exergetical Analyses of a Concentrating PV/T Collector: A Numerical Approach. Applied Sciences (Switzerland), 13(19). https://doi.org/10.3390/app131910669 Pasquale, G., Lopriore, E., Sun, Z., Čerņevičs, K., Tagarelli, F., Watanabe, K., Taniguchi,T., Yazyev, O. V., & Kis, A. (2023). Electrical detection of the flat-band dispersion in van der Waals field-effect structures. Nature Nanotechnology, 18(December), 1416–1423. https://doi.org/10.1038/s41565-023-01489-xPerez, R., Vásquez, C., & Viloria, A. (2019). An intelligent strategy for faults location in distribution networks with distributed generation. Journal of Intelligent and Fuzzy Systems, 36(2), 1627–1637. https://doi.org/10.3233/JIFS-18807Pessoa, D., Rocha, B. M., Gomes, M., Rodrigues, G., Petmezas, G., Cheimariotis, G. A.,Maglaveras, N., Marques, A., Frerichs, I., de Carvalho, P., & Paiva, R. P. (2024). Ensemble deep learning model for dimensionless respiratory airflow estimation using respiratory sound. Biomedical Signal Processing and Control, 87(PA), 105451. https://doi.org/10.1016/j.bspc.2023.105451Ponce, D., Aguila Téllez, A., & Krishnan, N. (2023). Optimal Selection of Conductors in Distribution System Designs Using Multi-Criteria Decision. Energies, 16(20). https://doi.org/10.3390/en16207167Popov, V., Tkachenko, V., Sakhragard, S. B., & Zhuravlov, A. (2015). Distinctive features of analysis of reliability of overhead distribution networks with sources of distributed generation. Eastern-European Journal of Enterprise Technologies, 3(8), 26–32.https://doi.org/10.15587/1729-4061.2015.42477Rehman, A., Koondhar, M. A., Ali, Z., Jamali, M., & El-Sehiemy, R. A. (2023). Critical Issues of Optimal Reactive Power Compensation Based on an HVAC Transmission System for an Offshore Wind Farm. Sustainability (Switzerland), 15(19). https://doi.org/10.3390/su151914175Reiz, C., Pereira, C. E. M., & Leite, J. B. (2023). A Self-Healing Strategy for Modern Distribution Networks. Energies, 16(16). https://doi.org/10.3390/en16165890 Saghebasl, S., Nobakht, A., Saghebasl, H., Hayati, S., Naturi, O., & Rahbarghazi, R. (2023). Sandwich-like electro-conductive polyurethane-based gelatin/soybean oil nanofibrous scaffolds with a targeted release of simvastatin for cardiac tissue engineering. Journal of Biological Engineering, 17(1), 1–13. https://doi.org/10.1186/s13036-023-00364-6Salonitis, K. (2023). Predicting Cybersecurity Threats in Critical Infrastructure for. Scharnhorst, L., Sloot, D., Lehmann, N., Ardone, A., & Fichtner, W. (2024). Barriers to demand response in the commercial and industrial sectors – An empirical investigation. Renewable and Sustainable Energy Reviews, 190(PB), 114067. https://doi.org/10.1016/j.rser.2023.114067Selema, A. (2023). Material Tradeoff of Rotor Architecture for Lightweight Low-Loss Cost-Effective Sustainable Electric Drivetrains. Sustainability (Switzerland), 15(19). https://doi.org/10.3390/su151914413Sgambitterra, E., Greco, C., Rodinò, S., Niccoli, F., Furgiuele, F., & Maletta, C. (2023). Fully coupled electric-thermo-mechanical model for predicting the response of a SMA wire activated by electrical input. Sensors and Actuators A: Physical, 362(May). https://doi.org/10.1016/j.sna.2023.114643Song, C.-J., & Park, J.-Y. (2023). Design of Fire Risk Estimation Method Based on Facility Data for Thermal Power Plants. Sensors, 23(21), 8967. https://doi.org/10.3390/s23218967Suárez-Montes, N. D., Sáenz-Gavilanes, J. V, & Mero-Vélez, J. M. (2016). Elementos esenciales del diseño de la investigación. Sus características. Domino de Las Ciencias, 2(3), 72–85.Tai, Y., Tonmoy, T. I., Win, S., Brinkley, N. T., Park, B. H., & Nam, J. (2023). Enhanced peripheral nerve regeneration by mechano-electrical stimulation. Npj Regenerative Medicine, 8(1). https://doi.org/10.1038/s41536-023-00334-yTéllez, A. A., & Ortiz, L. (2023). Optimal Location of Reclosers in Electrical Distribution Systems Considering Multicriteria Decision Through the Generation of Scenarios Using the Montecarlo Method. 11(February), 68853–68871. https://doi.org/10.1109/ACCESS.2023.3252411Torres, J., Torres, M., & Torres, J. (2013). Estrategias efectivas para mejorar la calidad del servicio de energía eléctrica de un sistema de distribución eléctrico. Yachana, 2(2), 89–93.Vallejo, M. (2002). El diseño de investigación: una breve revisión metodológica. Archivos de Cardiologia de Mexico, 72(1), 8–12.Wang, J., Liu, P., He, M., Yu, G., & Tian, H. (2024). Floor heave mechanism for gob side entry retaining with concrete blocks and control method: A case study. Underground Space, 15, 244–259. https://doi.org/10.1016/j.undsp.2023.09.002Wang, K., Sun, C., Dumčius, P., Zhang, H., Liao, H., Wu, Z., Tian, L., Peng, W., Fu, Y.,Wei, J., Cai, M., Zhong, Y., Li, X., Yang, X., & Cui, M. (2023). Open source board based acoustofluidic transwells for reversible disruption of the blood–brain barrier for therapeutic delivery. Biomaterials Research, 27(1), 1–16. https://doi.org/10.1186/s40824-023-00406-6Yang, Y. S., Lee, S. H., Chen, W. C., Yang, C. S., Huang, Y. M., & Hou, T. W. (2021). Ttas: Trusted token authentication service of securing scada network in energy management system for industrial internet of things. Sensors, 21(8). https://doi.org/10.3390/s21082685 Zarzycki, K., Chaber, P., Cabaj, K., Ławryńczuk, M., Marusak, P., Nebeluk, R.,Plamowski, S., & Wojtulewicz, A. (2023). Forgery Cyber-Attack Supported by LSTM Neural Network: An Experimental Case Study. 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