Impact of time interval alignment on data quality in electricity grids

Hans-Peter Schwefel, Imad Antonios, Lester Lipsky

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

4 Citations (Scopus)
113 Downloads (Pure)

Abstract

Measurements of parameters in electricity
grids are frequently average values over some time interval.
In scenarios of distributed measurements such as in
distribution grids, offsets of local clocks can result in the
averaging interval being misaligned. This paper investigates
the properties of the so-called time alignment error of
such measurands that is caused by shifts of the averaging
interval. A Markov model is derived that allows for numerically
calculating the expected value and other distribution
properties of this error. Actual consumption measurements
of an office building are used to study the behavior of this
time alignment error, and to compare the results from the
trace with numerical results and simulations from a fitted
Markov model. For increasing averaging interval offset,
the time alignment error approaches a normal distribution,
whose parameters can be calculated or approximated from
the Markov model.
Original languageEnglish
Title of host publication2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)
Number of pages7
PublisherIEEE
Publication date29 Oct 2018
ISBN (Print)978-1-5386-7955-5
ISBN (Electronic)978-1-5386-7954-8
DOIs
Publication statusPublished - 29 Oct 2018
EventIEEE International Conference on Smart Grid Communications, Control and Computing Technologies for Smart Grids 2018 (SmartGridComm'18) - Hotel Hvide Hus Comwell, Aalborg, Denmark
Duration: 29 Oct 201831 Oct 2018
http://sgc2018.ieee-smartgridcomm.org/

Conference

ConferenceIEEE International Conference on Smart Grid Communications, Control and Computing Technologies for Smart Grids 2018 (SmartGridComm'18)
LocationHotel Hvide Hus Comwell
CountryDenmark
CityAalborg
Period29/10/201831/10/2018
Internet address

Fingerprint

Electricity
Office buildings
Normal distribution
Clocks

Keywords

  • Electricity distribution grids
  • Data quality

Cite this

Schwefel, H-P., Antonios, I., & Lipsky, L. (2018). Impact of time interval alignment on data quality in electricity grids. In 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) IEEE. https://doi.org/10.1109/SmartGridComm.2018.8587570
Schwefel, Hans-Peter ; Antonios, Imad ; Lipsky, Lester. / Impact of time interval alignment on data quality in electricity grids. 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm). IEEE, 2018.
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Schwefel, H-P, Antonios, I & Lipsky, L 2018, Impact of time interval alignment on data quality in electricity grids. in 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm). IEEE, IEEE International Conference on Smart Grid Communications, Control and Computing Technologies for Smart Grids 2018 (SmartGridComm'18), Aalborg, Denmark, 29/10/2018. https://doi.org/10.1109/SmartGridComm.2018.8587570

Impact of time interval alignment on data quality in electricity grids. / Schwefel, Hans-Peter; Antonios, Imad; Lipsky, Lester.

2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm). IEEE, 2018.

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

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N2 - Measurements of parameters in electricitygrids are frequently average values over some time interval.In scenarios of distributed measurements such as indistribution grids, offsets of local clocks can result in theaveraging interval being misaligned. This paper investigatesthe properties of the so-called time alignment error ofsuch measurands that is caused by shifts of the averaginginterval. A Markov model is derived that allows for numericallycalculating the expected value and other distributionproperties of this error. Actual consumption measurementsof an office building are used to study the behavior of thistime alignment error, and to compare the results from thetrace with numerical results and simulations from a fittedMarkov model. For increasing averaging interval offset,the time alignment error approaches a normal distribution,whose parameters can be calculated or approximated fromthe Markov model.

AB - Measurements of parameters in electricitygrids are frequently average values over some time interval.In scenarios of distributed measurements such as indistribution grids, offsets of local clocks can result in theaveraging interval being misaligned. This paper investigatesthe properties of the so-called time alignment error ofsuch measurands that is caused by shifts of the averaginginterval. A Markov model is derived that allows for numericallycalculating the expected value and other distributionproperties of this error. Actual consumption measurementsof an office building are used to study the behavior of thistime alignment error, and to compare the results from thetrace with numerical results and simulations from a fittedMarkov model. For increasing averaging interval offset,the time alignment error approaches a normal distribution,whose parameters can be calculated or approximated fromthe Markov model.

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Schwefel H-P, Antonios I, Lipsky L. Impact of time interval alignment on data quality in electricity grids. In 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm). IEEE. 2018 https://doi.org/10.1109/SmartGridComm.2018.8587570