eprintid: 4654 rev_number: 8 eprint_status: archive userid: 2 dir: disk0/00/00/46/54 datestamp: 2022-11-18 23:30:04 lastmod: 2023-07-17 23:30:14 status_changed: 2022-11-18 23:30:04 type: article metadata_visibility: show creators_name: Peter, Geno creators_name: Stonier, Albert Alexander creators_name: Gupta, Punit creators_name: Gavilanes, Daniel creators_name: Masías Vergara, Manuel creators_name: Lung sin, Jong creators_id: creators_id: creators_id: creators_id: daniel.gavilanes@uneatlantico.es creators_id: manuel.masias@uneatlantico.es creators_id: title: Smart Fault Monitoring and Normalizing of a Power Distribution System Using IoT ispublished: pub subjects: uneat_eng divisions: uneatlantico_produccion_cientifica divisions: unincol_produccion_cientifica divisions: uninimx_produccion_cientifica divisions: uninipr_produccion_cientifica divisions: unic_produccion_cientifica full_text_status: public keywords: fault monitoring; normalizing technologies; Microsoft Azure Internet of Things (IoT); System Average Interruption Duration Index; System Average Interruption Frequency Index abstract: Conventional outage management practices in distribution systems are tedious and complex due to the long time taken to locate the fault. Emerging smart technologies and various cloud services offered could be utilized and integrated into the power industry to enhance the overall process, especially in the fault monitoring and normalizing fields in distribution systems. This paper introduces smart fault monitoring and normalizing technologies in distribution systems by using one of the most popular cloud service platforms, the Microsoft Azure Internet of Things (IoT) Hub, together with some of the related services. A hardware prototype was constructed based on part of a real underground distribution system network, and the fault monitoring and normalizing techniques were integrated to form a system. Such a system with IoT integration effectively reduces the power outage experienced by customers in the healthy section of the faulted feeder from approximately 1 h to less than 5 min and is able to improve the System Average Interruption Duration Index (SAIDI) and System Average Interruption Frequency Index (SAIFI) in electric utility companies significantly date: 2022-11 publication: Energies volume: 15 number: 21 pagerange: 8206 id_number: doi:10.3390/en15218206 refereed: TRUE issn: 1996-1073 official_url: http://doi.org/10.3390/en15218206 access: open language: en citation: Artículo Materias > Ingeniería Universidad Europea del Atlántico > Investigación > Producción Científica Fundación Universitaria Internacional de Colombia > Investigación > Producción Científica Universidad Internacional Iberoamericana México > Investigación > Producción Científica Universidad Internacional Iberoamericana Puerto Rico > Investigación > Producción Científica Universidad Internacional do Cuanza > Investigación > Producción Científica Abierto Inglés Conventional outage management practices in distribution systems are tedious and complex due to the long time taken to locate the fault. Emerging smart technologies and various cloud services offered could be utilized and integrated into the power industry to enhance the overall process, especially in the fault monitoring and normalizing fields in distribution systems. This paper introduces smart fault monitoring and normalizing technologies in distribution systems by using one of the most popular cloud service platforms, the Microsoft Azure Internet of Things (IoT) Hub, together with some of the related services. A hardware prototype was constructed based on part of a real underground distribution system network, and the fault monitoring and normalizing techniques were integrated to form a system. Such a system with IoT integration effectively reduces the power outage experienced by customers in the healthy section of the faulted feeder from approximately 1 h to less than 5 min and is able to improve the System Average Interruption Duration Index (SAIDI) and System Average Interruption Frequency Index (SAIFI) in electric utility companies significantly metadata Peter, Geno; Stonier, Albert Alexander; Gupta, Punit; Gavilanes, Daniel; Masías Vergara, Manuel y Lung sin, Jong mail SIN ESPECIFICAR, SIN ESPECIFICAR, SIN ESPECIFICAR, daniel.gavilanes@uneatlantico.es, manuel.masias@uneatlantico.es, SIN ESPECIFICAR (2022) Smart Fault Monitoring and Normalizing of a Power Distribution System Using IoT. Energies, 15 (21). p. 8206. ISSN 1996-1073 document_url: http://repositorio.unincol.edu.co/id/eprint/4654/1/energies-15-08206.pdf