Approximation of the time alignment error for measurements in electricity grids

Imad Antonios, Hans-Peter Christian Schwefel, Lester Lipsky

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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Measurements of parameters in electricity grids are
frequently captured as average values over some time interval.
In scenarios of distributed measurements such as in distribution
grids, offsets of local clocks can result in misaligned averaging
intervals. This paper investigates the properties of the so-called
time alignment error of such measurands that is caused by
shifts of the averaging interval. We extend a previously derived
Markov-modulated model and provide an approximation of
the variance of the time alignment error. The model accounts
for slow-decaying correlation structure found in actual traces
of electrical measures. We compare results of three electrical
measures for 20 traces with numerical results and simulations
from the the fitted Markov model.
Original languageEnglish
Title of host publication2019 15th European Dependable Computing Conference (EDCC)
Number of pages6
Publication date7 Nov 2019
Article number8893429
ISBN (Print)978-1-7281-3930-2
ISBN (Electronic)978-1-7281-3929-6
Publication statusPublished - 7 Nov 2019
Event15th European Dependable Computing Conference (EDCC) - Naples, Italy
Duration: 17 Sep 201920 Sep 2019


Conference15th European Dependable Computing Conference (EDCC)
SeriesProceedings of EDCC 2019


  • electrical distribution grids
  • measurement errors
  • clock synchronisation
  • Clock synchronization
  • Measurement errors
  • Electrical distribution grids

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