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Abstract
This paper presents an error analysis of the estimation of energy meter correction factor (CF) using a remote non-invasive technique. A method of the CF estimation based on the comparison of synchronously detected power steps in power consumption profiles of meter under test and reference meter is elaborated. The dependence of meter CF estimation uncertainty upon the magnitude of power steps, the number of power steps per observation interval, and the number of meters under test monitored by one reference meter is approximated. The synthesized consumer active power profiles are used to obtain training data points that are fit by these approximating equations.
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1 Department of Electronics Engineering, Faculty of Electrical and Electronics Engineering, Kaunas University of Technology, Studentu str. 50, LT – 51368, Kaunas, Lithuania; Faculty of engineering sciences, Kaunas University of Applied Engineering Sciences, Tvirtoves av. 35, LT – 50155, Kaunas, Lithuania
2 Department of Electronics Engineering, Faculty of Electrical and Electronics Engineering, Kaunas University of Technology, Studentu str. 50, LT – 51368, Kaunas, Lithuania