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

Seung Soo Kwak; Yun Chan Im; Yong Sin Kim

doi:10.3390/app11167313

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

Seung Soo Kwak, Yun Chan Im, Yong Sin Kim

Research output: Contribution to journal › Article › peer-review

2 Citations (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 language	English
Article number	7313
Journal	Applied Sciences (Switzerland)
Volume	11
Issue number	16
DOIs	https://doi.org/10.3390/app11167313
Publication status	Published - 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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.3390/app11167313

Cite this

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title = "Long-lifetime event-driven wireless monitoring system for pole-mounted transformers",

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.",

keywords = "Abnormality monitoring, Battery powered, Event driven, Pole-mounted transformer, Root mean square (RMS)",

author = "Kwak, {Seung Soo} and Im, {Yun Chan} and Kim, {Yong Sin}",

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: {\textcopyright} 2021 by the authors. Licensee MDPI, Basel, Switzerland.",

year = "2021",

month = aug,

day = "2",

doi = "10.3390/app11167313",

language = "English",

volume = "11",

journal = "Applied Sciences (Switzerland)",

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AU - Im, Yun Chan

AU - Kim, Yong Sin

N1 - 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.

PY - 2021/8/2

Y1 - 2021/8/2

N2 - 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.

AB - 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.

KW - Abnormality monitoring

KW - Battery powered

KW - Event driven

KW - Pole-mounted transformer

KW - Root mean square (RMS)

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M3 - Article

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VL - 11

JO - Applied Sciences (Switzerland)

JF - Applied Sciences (Switzerland)

IS - 16

M1 - 7313

ER -

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

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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