University of Oulu

M. d. C. Tome, P. H. J. Nardelli and H. Alves, "Event-Based Electricity Metering: An Autonomous Method to Determine Transmission Thresholds," 2018 IEEE 87th Vehicular Technology Conference (VTC Spring), Porto, 2018, pp. 1-5. doi: 10.1109/VTCSpring.2018.8417870

Event-based electricity metering : an autonomous method to determine transmission thresholds

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Author: de Castro Tomé, Mauricio1; Nardelli, Pedro. H. J.2,1; Alves, Hirley1
Organizations: 1Centre for Wireless Communications (CWC), University of Oulu, Finland
2Laboratory of Control Engineering and Digital Systems, Lappeenranta University of Technology, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.5 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2018
Publish Date: 2018-12-13


This paper provides an in-depth analysis of the event-based metering strategy proposed by Simonov et al. This strategy is an alternative to the traditional periodic (time-based) metering where the power demand is average in fixed time periods (e.g. every 15 minutes). The event-based approach considers two thresholds that trigger an event, one related to the (instantaneous) power demanded, other to the accumulated energy consumed. The original work assumed these thresholds fixed for the measurements. Our present contribution relaxes this assumption by proposing a method to set the thresholds from the percentage of the peak power consumption over the period under analysis. This approach, in contrast to the time-based and the fixed thresholds, better captures the actual power demanded when different households with diverse power demand profiles are studied. In this sense, our method provides a more efficient way to store electricity demand data while maintaining the estimation error (in relation to the real-time power demand) under acceptable values. Numerical examples presented to illustrate the advantage and possible drawbacks of the proposed method.

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Series: IEEE Vehicular Technology Conference
ISSN: 1550-2252
ISSN-E: 2577-2465
ISSN-L: 1550-2252
ISBN: 978-1-5386-6355-4
ISBN Print: 978-1-5386-6356-1
Pages: 1 - 5
DOI: 10.1109/VTCSpring.2018.8417870
Host publication: 87th IEEE Vehicular Technology Conference, VTC Spring 2018
Conference: IEEE Vehicular Technology Conference
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This work is partially supported by Aka Project SAFE (Grant n.303532) and Strategic Research Council/Aka BCDC Energy (Grant n. 292854).
Academy of Finland Grant Number: 303532
Detailed Information: 303532 (Academy of Finland Funding decision)
292854 (Academy of Finland Funding decision)
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