LAPSE:2023.8515v1
Published Article
LAPSE:2023.8515v1
Smart Fault Monitoring and Normalizing of a Power Distribution System Using IoT
Geno Peter, Albert Alexander Stonier, Punit Gupta, Daniel Gavilanes, Manuel Masias Vergara, Jong Lung sin
February 24, 2023
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, Microsoft Azure Internet of Things (IoT), normalizing technologies, System Average Interruption Duration Index, System Average Interruption Frequency Index
Suggested Citation
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. (2023). LAPSE:2023.8515v1
Author Affiliations
Peter G: CRISD, School of Engineering and Technology, University of Technology Sarawak, No.1 Jalan Universiti, Sibu 96000, Malaysia
Stonier AA: School of Electrical Engineering (SELECT), Vellore Institute of Technology, Vellore 632014, Tamil Nadu, India
Gupta P: School of computer Science, University College Dublin, D04 V1W8 Dublin, Ireland [ORCID]
Gavilanes D: Center for Nutrition & Health, Universidad Europea del Atlántico, Isabel Torres 21, 39011 Santander, Spain; Universidad Internacional Iberoamericana, Arecibo, PR 00613, USA; Universidade Internacional do Cuanza, Cuito, Bié, Angola
Vergara MM: Center for Nutrition & Health, Universidad Europea del Atlántico, Isabel Torres 21, 39011 Santander, Spain; Área de Nutrición y Salud, Universidad Internacional Iberoamericana, Campeche 24560, Mexico; Fundación Universitaria Internacional de Colombia, [ORCID]
Lung sin J: Sarawak Electricity Supply Corporation, Kuching 93050, Malaysia
Journal Name
Energies
Volume
15
Issue
21
First Page
8206
Year
2022
Publication Date
2022-11-03
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en15218206, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.8515v1
This Record
External Link

https://doi.org/10.3390/en15218206
Publisher Version
Download
Files
Feb 24, 2023
Main Article
License
CC BY 4.0
Meta
Record Statistics
Record Views
416
Version History
[v1] (Original Submission)
Feb 24, 2023
 
Verified by curator on
Feb 24, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
http://psecommunity.org/LAPSE:2023.8515v1
 
Record Owner
Auto Uploader for LAPSE
Links to Related Works
Directly Related to This Work
Publisher Version