Abstract
Series arc faults are challenging to detect in low-voltage dc (LVDC) distribution systems because, unlike other fault types, series arc faults result in only small changes in the current and voltage waveforms. Though there have been several approaches proposed to detect series arc faults, each approach has its requirements and limitations. A step change in the current and voltage waveforms at the arc inception is one of the characteristic signatures of these faults that can be extracted without requiring one to sample the waveforms at a very high frequency. This characteristic feature is utilized to present a novel approach based on voltage differential protection to detect series arc faults in LVDC systems. The proposed method is demonstrated using an embedded controller and experimental data that emulate a hardware-in-the-loop (HIL) test environment. The successful detection of series arc faults on two sets of series arc fault experimental data validated the approach. The results presented also illustrate the computational feasibility in implementing the approach in a real-time environment using an embedded controller. In addition, the paper discusses the robustness of the approach to load changes and loss of time synchronization between measurements at the two terminals of the line.
Highlights
The use of power-electronic converter based sources and dc loads has led to increased interest in the application of low-voltage dc (LVDC) distribution systems [1]
The series arc fault causes a step-like decrease in the voltage and current at the receiving or load end of the line as discussed in Section 1 and this is reflected in the figure as well
The proposed voltage differential protection relies on the communication of voltage measurements from the source end to the remote end to perform the series arc detection analysis described in Sections 2 and 3
Summary
The use of power-electronic converter based sources and dc loads has led to increased interest in the application of low-voltage dc (LVDC) distribution systems [1]. Frequency domain approaches typically measure high-frequency components in the current and/or voltage waveforms as features using methods such as Fourier transform and wavelet transform to detect series arc faults. A characteristic signature of series arc faults in dc systems is a step change in the voltage and current at the receiving (load) end of the line following the arc initiation. Such step changes at arc initiations are visible in waveforms presented in [8,9,15].
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