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Volume 15
Issue 21
10.3390/en15218206
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Article

Smart Fault Monitoring and Normalizing of a Power Distribution System Using IoT

by
Geno Peter
1,
Albert Alexander Stonier
2,
Punit Gupta
3,
Daniel Gavilanes
4,5,6,*,
Manuel Masias Vergara
4,7,8,* and
Jong Lung sin
9
1
CRISD, School of Engineering and Technology, University of Technology Sarawak, No.1 Jalan Universiti, Sibu 96000, Malaysia
2
School of Electrical Engineering (SELECT), Vellore Institute of Technology, Vellore 632014, Tamil Nadu, India
3
School of computer Science, University College Dublin, D04 V1W8 Dublin, Ireland
4
Center for Nutrition & Health, Universidad Europea del Atlántico, Isabel Torres 21, 39011 Santander, Spain
5
Universidad Internacional Iberoamericana, Arecibo, PR 00613, USA
6
Universidade Internacional do Cuanza, Cuito, Bié, Angola
7
Área de Nutrición y Salud, Universidad Internacional Iberoamericana, Campeche 24560, Mexico
8
Fundación Universitaria Internacional de Colombia, Bogotá 111311, Colombia
9
Sarawak Electricity Supply Corporation, Kuching 93050, Malaysia
*
Authors to whom correspondence should be addressed.
Energies 2022, 15(21), 8206; https://doi.org/10.3390/en15218206
Submission received: 9 October 2022 / Revised: 29 October 2022 / Accepted: 1 November 2022 / Published: 3 November 2022
(This article belongs to the Special Issue Advancement in Renewable Energy Technologies and Smart Grid)
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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.
Keywords: fault monitoring; normalizing technologies; Microsoft Azure Internet of Things (IoT); System Average Interruption Duration Index; System Average Interruption Frequency Index fault monitoring; normalizing technologies; Microsoft Azure Internet of Things (IoT); System Average Interruption Duration Index; System Average Interruption Frequency Index

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MDPI and ACS Style

Peter, G.; Stonier, A.A.; Gupta, P.; Gavilanes, D.; Vergara, M.M.; Lung sin, J. Smart Fault Monitoring and Normalizing of a Power Distribution System Using IoT. Energies 2022, 15, 8206. https://doi.org/10.3390/en15218206

AMA Style

Peter G, Stonier AA, Gupta P, Gavilanes D, Vergara MM, Lung sin J. Smart Fault Monitoring and Normalizing of a Power Distribution System Using IoT. Energies. 2022; 15(21):8206. https://doi.org/10.3390/en15218206

Chicago/Turabian Style

Peter, Geno, Albert Alexander Stonier, Punit Gupta, Daniel Gavilanes, Manuel Masias Vergara, and Jong Lung sin. 2022. "Smart Fault Monitoring and Normalizing of a Power Distribution System Using IoT" Energies 15, no. 21: 8206. https://doi.org/10.3390/en15218206

APA Style

Peter, G., Stonier, A. A., Gupta, P., Gavilanes, D., Vergara, M. M., & Lung sin, J. (2022). Smart Fault Monitoring and Normalizing of a Power Distribution System Using IoT. Energies, 15(21), 8206. https://doi.org/10.3390/en15218206

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