A Framework for Remote In-service Metrological Surveillance of Energy Meters
| Autor: | Žilvinas Nakutis, Marko Jurčević, Marius Saunoris, Vytautas Daunoras, Paulius Kaškonas |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Service (systems architecture)
Computer science Applied Mathematics Real-time computing ComputingMethodologies_MISCELLANEOUS Astrophysics::Instrumentation and Methods for Astrophysics Experimental data Energy meter In-service surveillance Remote error monitoring Adjustment gain Legal metrology Industrial metrology Condensed Matter Physics Electrical grid Metrology Power consumption Electricity meter Hardware_GENERAL Metre Electrical and Electronic Engineering Instrumentation Energy (signal processing) |
| DOI: | 10.1016/j.measurement.2020.108438 |
| Popis: | A framework for energy meters’ error remote monitoring to assist metrological supervision in legal and industrial metrology fields is suggested. As a use case, a method for the remote monitoring of customer’s meter error using a certified reference sum meter is discussed. The method is aimed at remotely determining an adjustment gain (multiplicative error correction factor) of a meter. An analysis of uncertainty of the meter adjustment gain estimation is introduced. It is shown that the uncertainty is influenced by the precision of reference meter and meter under test, but to the largest extent is defined by fluctuations of power consumption in the electrical grid. Typical uncertainties of meter adjustment gain estimation achievable in low voltage grid using Class 0.2 or Class 0.5 remote reference meter and Class 1 or Class 2 m under test are reported. The preliminary validation of uncertainty estimation is performed using experimental data. |
| Databáze: | OpenAIRE |
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