Abstract

The assessment of the power quality (PQ) could be a valuable tool to foster the efficiency of the railway systems. PQ is a well-addressed topic in conventional ac 50/60 Hz power systems, and many procedures, algorithms and measurement systems were presented in the international standards and widely discussed in the scientific literature. A less explored research field is the assessment of the PQ in the railway traction supply systems, in particular with reference to the dc and 16.7 Hz systems. The article explores this theme, proposing an extension of the definitions and of the standard measurement procedures for some of the main PQ indexes, well defined and widely used for conventional power systems, in order to be used also in all railway traction supply systems. The limits or difficulties of applicability are discussed with reference to measurements performed both on-board and in substation. The proposed procedures are applied to an experimental case of a real dc railway system with a large measurement campaign.

Highlights

  • I N THE railway systems, the electrical locomotives are big single-phase loads for the traction supply system

  • The adopted data acquisition system was based on a National Instruments (NI) Compact Reconfigurable Input Output 9034 equipped with two NI 9223 and a GPS module NI 9469

  • The main electrical quantities monitored for power quality (PQ) assessment are the voltage and current at the pantograph measured before CB

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Summary

Introduction

I N THE railway systems, the electrical locomotives are big single-phase loads for the traction supply system. As the speed and mechanical conditions of the train change frequently, they appear nonlinear and time-varying loads, injecting a certain number of conducted electrical disturbances that propagate on the supply line, even reaching other trains or even the power substation, [1]–[3]. The electrical substations absorb energy from the high-voltage ac grid to feed the locomotives at a lower voltage level. Many of the power quality (PQ) problems in the Manuscript received August 7, 2019; revised December 19, 2019; accepted January 3, 2020. The Associate Editor coordinating the review process was Dr Roberto Ferrero. (Corresponding author: Mario Luiso.)

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