Preprint Open Access

Calibration System for DC Power/Energy Measurement chain in Railway applications

Crotti Gabriella; Delle Femine Antonio; Gallo Daniele; Giordano Domenico; Luiso Mario; Landi Carmine; Signorino Davide

Dublin Core Export

<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="" xmlns:oai_dc="" xmlns:xsi="" xsi:schemaLocation="">
  <dc:creator>Crotti Gabriella</dc:creator>
  <dc:creator>Delle Femine Antonio</dc:creator>
  <dc:creator>Gallo Daniele</dc:creator>
  <dc:creator>Giordano Domenico</dc:creator>
  <dc:creator>Luiso Mario</dc:creator>
  <dc:creator>Landi Carmine</dc:creator>
  <dc:creator>Signorino Davide</dc:creator>
  <dc:description>In order to guarantee the European interoperability of rolling stock, the European Union (EU) established that all the trains shall be equipped with an Energy Measurement Function (EMF) for billing purposes. The measurement accuracy of such devices should be assessed and periodically re-verified, as required by EN 50462-2. This paper describes a setup for the calibration of combined voltage and current transducers and EMFs for on-board Direct Current (DC) train installation. The reference system is able to generate an arbitrary DC phantom power up to 6 MW with voltage up to 5 kV and a current up to 1.2 kA. Furthermore, in order to perform tests as close as possible to real operating conditions, the system allows performing dynamical tests, reproducing waveforms obtained in real measurement campaigns. The computed uncertainty for steady state tests is 0.025 %, whereas the target uncertainty for dynamic tests is 0.1%. The generation system can also be applied for on-board reverification of EMF</dc:description>
  <dc:subject>Combined Transducers</dc:subject>
  <dc:subject>Power Measurement</dc:subject>
  <dc:subject>Phantom Power</dc:subject>
  <dc:subject>DC Railway</dc:subject>
  <dc:subject>Energy Meter</dc:subject>
  <dc:title>Calibration System for DC Power/Energy Measurement chain in Railway applications</dc:title>
Views 28
Downloads 52
Data volume 19.2 MB
Unique views 25
Unique downloads 52


Cite as