Long-lifetime event-driven wireless monitoring system for pole-mounted transformers

Seung Soo Kwak, Yun Chan Im, Yong Sin Kim

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

As smart grids develop rapidly, low-cost monitoring systems for pole-mounted transformers increase in demand. Even though battery-powered wireless monitoring systems appear to provide optimal solutions, they consume large amounts of energy for continuous sampling and data transmission. Operation and maintenance costs then increase owing to reduced battery lifetime and battery replacement. To overcome this problem, this paper presents an event-driven battery-powered wireless monitoring system that monitors abnormalities of a transformer and transmits data only if an abnormality occurs. When the proposed event controller detects an abnormality, it enables a root mean square (RMS) converter and a peak detector for sampling and transmitting the maximum RMS value of the abnormal signal and then falls into sleep mode until the next event to save energy. Simulation and experimental results show that the proposed system enhances battery lifetime by up to two orders of magnitude compared to a conventional battery-powered wireless monitoring system.

Original languageEnglish
Article number7313
JournalApplied Sciences (Switzerland)
Volume11
Issue number16
DOIs
Publication statusPublished - 2021 Aug 2

Bibliographical note

Funding Information:
Author Contributions: Conceptualization, S.S.K. and Y.S.K.; methodology, S.S.K.; formal analysis, S.S.K.; investigation, S.S.K.; data curation, Y.S.K.; writing—original draft preparation, S.S.K. and Y.S.K.; writing—review and editing, Y.C.I. and Y.S.K.; visualization, S.S.K. and Y.C.I. All authors have read and agreed to the published version of the manuscript. Funding: This research received no external funding. Funding: This research received no external funding. Institutional Review Board Statement: Not applicable. Institutional Review Board Statement: Not applicable. Informed Consent Statement: Not applicable. Informed Consent Statement: Not applicable Data Availability Statement: Data sharing is not applicable to this article. Data Availability Statement: Data sharing is not applicable to this article. Acknowledgments: This work was supported in part by the Basic Science Research Program Acknowledgments: This work was supported in part by the Basic Science Research Program through the National Research Foundation of Korea (NRF), Ministry of Education, under Grant through the National Research Foundation of Korea (NRF), Ministry of Education, under Grant NRF-2016R1D1A1B04935233 and in part by Korea Electric Power Corporation (KEPCO) under Grant NRF-2016R1D1A1B04935233 and in part by Korea Electric Power Corporation (KEPCO) under R17XH04. Grant R17XH04. Conflicts of Interest: The authors declare no conflict of interest. Conflicts of Interest: The authors declare no conflict of interest.

Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.

Keywords

  • Abnormality monitoring
  • Battery powered
  • Event driven
  • Pole-mounted transformer
  • Root mean square (RMS)

ASJC Scopus subject areas

  • General Materials Science
  • Instrumentation
  • General Engineering
  • Process Chemistry and Technology
  • Computer Science Applications
  • Fluid Flow and Transfer Processes

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