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

Author

Listed:
  • Geno Peter

    (CRISD, School of Engineering and Technology, University of Technology Sarawak, No.1 Jalan Universiti, Sibu 96000, Malaysia)

  • Albert Alexander Stonier

    (School of Electrical Engineering (SELECT), Vellore Institute of Technology, Vellore 632014, Tamil Nadu, India)

  • Punit Gupta

    (School of computer Science, University College Dublin, D04 V1W8 Dublin, Ireland)

  • Daniel Gavilanes

    (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)

  • Manuel Masias Vergara

    (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, Bogotá 111311, Colombia)

  • Jong Lung sin

    (Sarawak Electricity Supply Corporation, Kuching 93050, Malaysia)

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.

Suggested Citation

  • Geno Peter & Albert Alexander Stonier & Punit Gupta & Daniel Gavilanes & Manuel Masias Vergara & Jong Lung sin, 2022. "Smart Fault Monitoring and Normalizing of a Power Distribution System Using IoT," Energies, MDPI, vol. 15(21), pages 1-22, November.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:21:p:8206-:d:962639
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    References listed on IDEAS

    as
    1. Geno Peter & K. Praghash & Anli Sherine & Vivekananda Ganji & Albert Alexander Stonier, 2022. "A Combined PWM and AEM-Based AC Voltage Controller for Resistive Loads," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-11, February.
    2. Boyan Zhang & Mingming Wang, 2021. "How Will the Improvements of Electricity Supply Quality in Poor Regions Reduce the Regional Economic Gaps? A Case Study of China," Energies, MDPI, vol. 14(12), pages 1-18, June.
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    Cited by:

    1. Paweł Węgierek & Damian Kostyła & Michał Lech & Czesław Kozak & Alicja Zielonka, 2023. "Pressure Monitoring in Medium-Voltage Vacuum Interrupters," Energies, MDPI, vol. 16(18), pages 1-12, September.

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