Real time arc fault detection in PV systems using wavelet decomposition

Hezi Zhu, Zhan Wang, Robert Balog

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Reliable arc fault detection is crucial for the safe operation of photovoltaic (PV) system. Fourier transform methods have been previously used to detect arcing by examining the frequency characteristics of the PV voltage or current but are not well suited because arcs are chaotic, not periodic and not stationary. In contract, wavelet-based transforms are well suited because the technique does not assume periodicity and is adept at detecting discontinuities in the signal. This paper reports on results from the development of a real time arc fault detection technique that was built as a wavelet decomposition based arc detector using a TI C2000 platform DSP. The arc fault detector was tested on a composite arc signal constructed from recordings of real-world inverter noise and real-world arc events replayed through a high-fidelity test bed to compare the ability to differentiate inverter only and inverter plus arcing signals. The results demonstrate that the wavelet decomposition and arc discrimination algorithms can be implemented in real-time on a low-cost DSP.

Original languageEnglish
Title of host publication2017 IEEE 44th Photovoltaic Specialist Conference, PVSC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781509056057
DOIs
Publication statusPublished - 25 May 2018
Event44th IEEE Photovoltaic Specialist Conference, PVSC 2017 - Washington, United States
Duration: 25 Jun 201730 Jun 2017

Other

Other44th IEEE Photovoltaic Specialist Conference, PVSC 2017
CountryUnited States
CityWashington
Period25/6/1730/6/17

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Keywords

  • Arc fault detection
  • Real time
  • Wavelet decomposition

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials

Cite this

Zhu, H., Wang, Z., & Balog, R. (2018). Real time arc fault detection in PV systems using wavelet decomposition. In 2017 IEEE 44th Photovoltaic Specialist Conference, PVSC 2017 (pp. 1-6). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PVSC.2017.8366385