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A Contemplation on Electricity Meters In-Service Surveillance Assisted by Remote Error Monitoring

Author

Listed:
  • Žilvinas Nakutis

    (Electrical and Electronics Engineering Faculty, Kaunas University of Technology, Kaunas 51368, Lithuania)

  • Paulius Kaškonas

    (Electrical and Electronics Engineering Faculty, Kaunas University of Technology, Kaunas 51368, Lithuania)

Abstract

In this paper, remote error monitoring techniques for electricity meters are overviewed suggesting their utilization for in-service surveillance assistance. It is discussed that in-service error observation could provide valuable input, contributing to the timely detection of batches of meters reaching nonconformance status. The payback period analysis of the deployment of a remote error monitoring solution is considered. However, it is pointed out that such an analysis lacks input information describing the relationship between the remote monitoring system’s performance and its ability to detect nonconformance of the batch. It is also noticed that there is no published methodology for grading the status of an entire batch of meters referring to error estimates of a subset of the meters, when the uncertainty of estimation is rather high.

Suggested Citation

  • Žilvinas Nakutis & Paulius Kaškonas, 2020. "A Contemplation on Electricity Meters In-Service Surveillance Assisted by Remote Error Monitoring," Energies, MDPI, vol. 13(20), pages 1-13, October.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:20:p:5245-:d:425442
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    References listed on IDEAS

    as
    1. Xiangyu Kong & Yuying Ma & Xin Zhao & Ye Li & Yongxing Teng, 2019. "A Recursive Least Squares Method with Double-Parameter for Online Estimation of Electric Meter Errors," Energies, MDPI, vol. 12(5), pages 1-16, February.
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