Impact of time interval alignment on data quality in electricity grids
| Autor: | Hans-Peter Schwefel, Imad Antonios, Lester Lipsky |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Computer science
business.industry 020209 energy Data quality Markov process 020206 networking & telecommunications 02 engineering and technology Expected value Markov model Normal distribution symbols.namesake Electricity distribution grids 0202 electrical engineering electronic engineering information engineering symbols Measurement uncertainty Electricity business Algorithm |
| Zdroj: | 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 SmartGridComm 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) |
| DOI: | 10.1109/SmartGridComm.2018.8587570 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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