Impact of time interval alignment on data quality in electricity grids

Hans-Peter Schwefel; Imad Antonios; Lester Lipsky

doi:10.1109/SmartGridComm.2018.8587570

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 proceeding › Article in proceeding › Research › peer-review

8 Citations (Scopus)

248 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 language	English
Title of host publication	2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)
Number of pages	7
Publisher	IEEE
Publication date	29 Oct 2018
ISBN (Print)	978-1-5386-7955-5
ISBN (Electronic)	978-1-5386-7954-8
DOIs	https://doi.org/10.1109/SmartGridComm.2018.8587570
Publication status	Published - 29 Oct 2018
Event	IEEE 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 2018 → 31 Oct 2018 http://sgc2018.ieee-smartgridcomm.org/

Conference

Conference	IEEE International Conference on Smart Grid Communications, Control and Computing Technologies for Smart Grids 2018 (SmartGridComm'18)
Location	Hotel Hvide Hus Comwell
Country/Territory	Denmark
City	Aalborg
Period	29/10/2018 → 31/10/2018
Internet address	http://sgc2018.ieee-smartgridcomm.org/

Keywords

Electricity distribution grids
Data quality

Access to Document

10.1109/SmartGridComm.2018.8587570

smart_grid_comm_submitted_markedSubmitted manuscript, 1.7 MB

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Net2DG: Leveraging Networked Data for the Digital Electricity Grid
Iov, F., Olsen, R. L., Stoustrup, J., Bendtsen, J. D., Schwefel, H. C., Shahid, K., Pombo, D. V. & Mardare, D.
Horizon Europe
01/01/2018 → 30/06/2021
Project: Research

Dataset for SmartGridComm2018 paper
Schwefel, H. C. (Creator) & Antonios, I. (Contributor), VBN, 4 May 2020
DOI: 10.5278/01b9937a-6efe-4f65-93b1-41999c2cc254
Dataset

File

Cite this

@inproceedings{0e440149758e4ed2a9ed4e3c2b022ed2,

title = "Impact of time interval alignment on data quality in electricity grids",

abstract = "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.",

keywords = "Electricity distribution grids, Data quality",

author = "Hans-Peter Schwefel and Imad Antonios and Lester Lipsky",

year = "2018",

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doi = "10.1109/SmartGridComm.2018.8587570",

language = "English",

isbn = "978-1-5386-7955-5",

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

publisher = "IEEE",

address = "United States",

note = "IEEE International Conference on Smart Grid Communications, Control and Computing Technologies for Smart Grids 2018 (SmartGridComm'18), SmartGridComm ; Conference date: 29-10-2018 Through 31-10-2018",

url = "http://sgc2018.ieee-smartgridcomm.org/",

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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 proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Impact of time interval alignment on data quality in electricity grids

AU - Schwefel, Hans-Peter

AU - Antonios, Imad

AU - Lipsky, Lester

PY - 2018/10/29

Y1 - 2018/10/29

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.

KW - Electricity distribution grids

KW - Data quality

U2 - 10.1109/SmartGridComm.2018.8587570

DO - 10.1109/SmartGridComm.2018.8587570

M3 - Article in proceeding

SN - 978-1-5386-7955-5

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

PB - IEEE

T2 - IEEE International Conference on Smart Grid Communications, Control and Computing Technologies for Smart Grids 2018 (SmartGridComm'18)

Y2 - 29 October 2018 through 31 October 2018

ER -

Impact of time interval alignment on data quality in electricity grids

Abstract

Conference

Keywords

Access to Document

AUB Link

Fingerprint

Projects

Net2DG: Leveraging Networked Data for the Digital Electricity Grid

Datasets

Dataset for SmartGridComm2018 paper

Cite this