Approximation of the time alignment error for measurements in electricity grids

Resource type
Authors/contributors
Title
Approximation of the time alignment error for measurements in electricity grids
Abstract
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. © 2019 IEEE.
Proceedings Title
Proc. - Eur. Dependable Comput. Conf., EDCC
Conference Name
15th European Dependable Computing Conference
Publisher
Institute of Electrical and Electronics Engineers Inc.
Place
Naples, Italy
Date
2019
Pages
153-158
ISBN
9781728139296 (ISBN)
Citation Key
antoniosApproximationTimeAlignment2019
Archive
Scopus
Language
English
Extra
2 citations (Crossref) [2023-10-31] Journal Abbreviation: Proc. - Eur. Dependable Comput. Conf., EDCC
Citation
Antonios, I., Schwefel, H.-P., & Lipsky, L. (2019). Approximation of the time alignment error for measurements in electricity grids. Proc. - Eur. Dependable Comput. Conf., EDCC, 153–158. Scopus. https://doi.org/10.1109/EDCC.2019.00038