Abstract

Periodic calibrations of Energy Measurement Systems (EMS) installed in locomotives must be carried out to demonstrate the required accuracy established in the EN 50463-2 standard according to European Parliament and Council Directive 2008/57/EC on the interoperability of rail systems within the Community. As a result of the work performed in the “MyRailS” EURAMET project an AC calibration facility was developed consisting of a fictive power source was developed. This fictive power source can generate distorted sinusoidal voltages up to 25 kV-50 Hz and 15 kV-16.7 Hz as well as distorted sinusoidal currents up to 500 A with harmonic content up to 5 kHz or phase-fired current waveform stated in EN50463-2 standard. These waveforms are representative of those that appear during periods of acceleration and breaking of the train. Reference measuring systems have been designed and built consisting of high voltage and high current transducers adapted to multimeters, which function as digital recorders to acquire synchronized voltage and current signals. An approved procedure has been developed and an in-depth uncertainty analysis has been performed to achieve a set of uncertainty formulas considering the influence parameters. Different influence parameters have been analyzed to evaluate uncertainty contributions for each quantity to be measured: rms voltage, rms current, active power, apparent power and non-active power of distorted voltage and current waveforms. The resulting calculated global expanded uncertainty for the developed Energy Measuring Function calibration set up has been better than 0.5% for distorted waveforms. This paper is focused on presenting the complete set of expressions and formulas developed for the different influence parameters, necessary for uncertainty budget calculation of an Energy Measuring Function calibration.

Highlights

  • The opening of the railway infrastructures of the different countries belonging to the European Economic Community for the free movement of trains of different companies requires the on-board measurement of electrical energy in trains to achieve the European objectives stated in [1,2]

  • It consists of a phantom power generator composed of two independent synchronized sources: (1) a sinusoidal current source (50 Hz or 16.7 Hz) or a phase-fired current waveform up to 500 A rms (Figure 3) and (2) a high voltage source up to 25 kV, 50 Hz or 15 kV, 16.7 Hz

  • A new Energy Measurement Systems (EMS) calibration set up is available for AC voltages up to 25 kV addressed to on board energy metering under distorted conditions

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Summary

Introduction

The opening of the railway infrastructures of the different countries belonging to the European Economic Community for the free movement of trains of different companies requires the on-board measurement of electrical energy in trains to achieve the European objectives stated in [1,2]. The MyRailS European Project [5] has made it possible to develop fictitious power generation facilities in the high voltage ranges or grid frequency and harmonic content of current and voltage waveforms that are representative of the service conditions, and it has allowed to establish a robust calibration procedure with an uncertainty of active, apparent and non-active power measurements better than 0.5%. These special calibration facilities are available and their calibration metrological capabilities (CMC). This work is intended to contribute to future reviews of on-board EMF calibration standards to establish internal guidelines for good calibration practices that can be used by accredited calibration laboratories

Calibration Set-Up
Reference Energy Measuring System
Characterization and Implementation
Uncertainty Analysis
Model Functions
Model Functions for the Quantities at the High Voltage Side
Uncertainty of the Calculated Rms Voltage and Current Values at the High
Uncertainty of the Calculated Power Quantities at the High Voltage Side
Uncertainty of the Signal Processing Contributions
Application of the Uncertainty Estimation of the EMS Calibration Set Up
Samples taken for a period
Findings
Conclusions
Full Text
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