Estimation of uncertainty in measurement of power quality characteristics with a virtual measurement instrument

Abstract

The paper deals with modeling and estimation of uncertainty in measurement of power quality (PQ) characteristics by using a virtual measurement instrument. The described virtual PQ analyzer is comprised of National Instruments (NI) analog input modules, NI data acquisition board, personal computer and software in LabVIEW™. The main sources of uncertainty are identified and evaluated. A Monte Carlo simulation is used for the model estimation and generation of the combined uncertainty of particular characteristics. Experimental measurement and statistical analysis of the results are made and compared with the simulation results. The experimental results have served for a verification of the model and the Monte Carlo simulation results.

Design and Implementation of a Data-Driven Approach to Visualizing Power Quality

“…7. Characterization of the uncertainty contributions in PQ meters Assuming that the uncertainty of devices satisfies the normal distribution, the mathematical model for the estimation of uncertainty in the measurement of the PQ data is in the form of the multiplication product of particular variable quantities, as follows [36]…”

Measurement of Power Quality Effects and Energy Efficiency of Various Light Technologies

“…The instrument was calibrated by the laboratory multifuncional calibrator FLUKE 5500A, [13]. The power measurement uncertainty of the virtual instrument was estimated to ±0,3%, [14].…”