Impact of time interval alignment on data quality in electricity grids

Hans-Peter Schwefel, Imad Antonios, Lester Lipsky

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4 Citationer (Scopus)
143 Downloads (Pure)

Abstrakt

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.
OriginalsprogEngelsk
Titel2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)
Antal sider7
ForlagIEEE
Publikationsdato29 okt. 2018
ISBN (Trykt)978-1-5386-7955-5
ISBN (Elektronisk)978-1-5386-7954-8
DOI
StatusUdgivet - 29 okt. 2018
BegivenhedIEEE International Conference on Smart Grid Communications, Control and Computing Technologies for Smart Grids 2018 (SmartGridComm'18) - Hotel Hvide Hus Comwell, Aalborg, Danmark
Varighed: 29 okt. 201831 okt. 2018
http://sgc2018.ieee-smartgridcomm.org/

Konference

KonferenceIEEE International Conference on Smart Grid Communications, Control and Computing Technologies for Smart Grids 2018 (SmartGridComm'18)
LokationHotel Hvide Hus Comwell
LandDanmark
ByAalborg
Periode29/10/201831/10/2018
Internetadresse

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