Arc Fault Detection and Localization in Photovoltaic Systems Using Parallel Capacitors

Qing Xiong; Xianyong Feng; Angelo L. Gattozzi; Xiaojun Liu; Hang Yang; Shengchang Ji; Lingyu Zhu; Robert E. Hebner

doi:10.1109/PVSC.2018.8547286

Arc Fault Detection and Localization in Photovoltaic Systems Using Parallel Capacitors

Qing Xiong
, Xianyong Feng
, Angelo L. Gattozzi
, Xiaojun Liu
, Hang Yang
, Shengchang Ji
, Lingyu Zhu
, Robert E. Hebner

School of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

Abstract

Arc faults threaten the safety operation of photovoltaics (PV) systems. An arc fault detection and localization approach using parallel capacitors is proposed. Five capacitors are paralleled with the branches of a PV system. Series and parallel arc faults are tested in the system. The amplitudes and polarities of the capacitor currents are obtained, and discrete wavelet transformation (DWT) is applied to the capacitor currents. The results indicate that the distributions of absolute amplitudes, polarities and spectrums of capacitor currents are unique under different fault types and locations, which can be used to detect and localize arc faults in PV systems.

Original language	English
Title of host publication	2018 IEEE 7th World Conference on Photovoltaic Energy Conversion, WCPEC 2018 - A Joint Conference of 45th IEEE PVSC, 28th PVSEC and 34th EU PVSEC
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1749-1753
Number of pages	5
ISBN (Electronic)	9781538685297
DOIs	https://doi.org/10.1109/PVSC.2018.8547286
State	Published - 26 Nov 2018
Event	7th IEEE World Conference on Photovoltaic Energy Conversion, WCPEC 2018 - Waikoloa Village, United States Duration: 10 Jun 2018 → 15 Jun 2018

Publication series

Name	2018 IEEE 7th World Conference on Photovoltaic Energy Conversion, WCPEC 2018 - A Joint Conference of 45th IEEE PVSC, 28th PVSEC and 34th EU PVSEC

Conference

Conference	7th IEEE World Conference on Photovoltaic Energy Conversion, WCPEC 2018
Country/Territory	United States
City	Waikoloa Village
Period	10/06/18 → 15/06/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

arc fault detection
discrete waveform transform
fault localization
parallel arc
parallel capacitor
photovoltaic system
series arc

Access to Document

10.1109/PVSC.2018.8547286

Cite this

Xiong, Q., Feng, X., Gattozzi, A. L., Liu, X., Yang, H., Ji, S., Zhu, L., & Hebner, R. E. (2018). Arc Fault Detection and Localization in Photovoltaic Systems Using Parallel Capacitors. In 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion, WCPEC 2018 - A Joint Conference of 45th IEEE PVSC, 28th PVSEC and 34th EU PVSEC (pp. 1749-1753). Article 8547286 (2018 IEEE 7th World Conference on Photovoltaic Energy Conversion, WCPEC 2018 - A Joint Conference of 45th IEEE PVSC, 28th PVSEC and 34th EU PVSEC). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PVSC.2018.8547286

Xiong, Qing ; Feng, Xianyong ; Gattozzi, Angelo L. et al. / Arc Fault Detection and Localization in Photovoltaic Systems Using Parallel Capacitors. 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion, WCPEC 2018 - A Joint Conference of 45th IEEE PVSC, 28th PVSEC and 34th EU PVSEC. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1749-1753 (2018 IEEE 7th World Conference on Photovoltaic Energy Conversion, WCPEC 2018 - A Joint Conference of 45th IEEE PVSC, 28th PVSEC and 34th EU PVSEC).

@inproceedings{61b5c954a445457fab1fd71a3ca73b53,

title = "Arc Fault Detection and Localization in Photovoltaic Systems Using Parallel Capacitors",

abstract = "Arc faults threaten the safety operation of photovoltaics (PV) systems. An arc fault detection and localization approach using parallel capacitors is proposed. Five capacitors are paralleled with the branches of a PV system. Series and parallel arc faults are tested in the system. The amplitudes and polarities of the capacitor currents are obtained, and discrete wavelet transformation (DWT) is applied to the capacitor currents. The results indicate that the distributions of absolute amplitudes, polarities and spectrums of capacitor currents are unique under different fault types and locations, which can be used to detect and localize arc faults in PV systems.",

keywords = "arc fault detection, discrete waveform transform, fault localization, parallel arc, parallel capacitor, photovoltaic system, series arc",

author = "Qing Xiong and Xianyong Feng and Gattozzi, \{Angelo L.\} and Xiaojun Liu and Hang Yang and Shengchang Ji and Lingyu Zhu and Hebner, \{Robert E.\}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 7th IEEE World Conference on Photovoltaic Energy Conversion, WCPEC 2018 ; Conference date: 10-06-2018 Through 15-06-2018",

year = "2018",

month = nov,

day = "26",

doi = "10.1109/PVSC.2018.8547286",

language = "英语",

series = "2018 IEEE 7th World Conference on Photovoltaic Energy Conversion, WCPEC 2018 - A Joint Conference of 45th IEEE PVSC, 28th PVSEC and 34th EU PVSEC",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1749--1753",

booktitle = "2018 IEEE 7th World Conference on Photovoltaic Energy Conversion, WCPEC 2018 - A Joint Conference of 45th IEEE PVSC, 28th PVSEC and 34th EU PVSEC",

}

Xiong, Q, Feng, X, Gattozzi, AL, Liu, X, Yang, H, Ji, S, Zhu, L & Hebner, RE 2018, Arc Fault Detection and Localization in Photovoltaic Systems Using Parallel Capacitors. in 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion, WCPEC 2018 - A Joint Conference of 45th IEEE PVSC, 28th PVSEC and 34th EU PVSEC., 8547286, 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion, WCPEC 2018 - A Joint Conference of 45th IEEE PVSC, 28th PVSEC and 34th EU PVSEC, Institute of Electrical and Electronics Engineers Inc., pp. 1749-1753, 7th IEEE World Conference on Photovoltaic Energy Conversion, WCPEC 2018, Waikoloa Village, United States, 10/06/18. https://doi.org/10.1109/PVSC.2018.8547286

Arc Fault Detection and Localization in Photovoltaic Systems Using Parallel Capacitors. / Xiong, Qing; Feng, Xianyong; Gattozzi, Angelo L. et al.
2018 IEEE 7th World Conference on Photovoltaic Energy Conversion, WCPEC 2018 - A Joint Conference of 45th IEEE PVSC, 28th PVSEC and 34th EU PVSEC. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1749-1753 8547286 (2018 IEEE 7th World Conference on Photovoltaic Energy Conversion, WCPEC 2018 - A Joint Conference of 45th IEEE PVSC, 28th PVSEC and 34th EU PVSEC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Arc Fault Detection and Localization in Photovoltaic Systems Using Parallel Capacitors

AU - Xiong, Qing

AU - Feng, Xianyong

AU - Gattozzi, Angelo L.

AU - Liu, Xiaojun

AU - Yang, Hang

AU - Ji, Shengchang

AU - Zhu, Lingyu

AU - Hebner, Robert E.

PY - 2018/11/26

Y1 - 2018/11/26

N2 - Arc faults threaten the safety operation of photovoltaics (PV) systems. An arc fault detection and localization approach using parallel capacitors is proposed. Five capacitors are paralleled with the branches of a PV system. Series and parallel arc faults are tested in the system. The amplitudes and polarities of the capacitor currents are obtained, and discrete wavelet transformation (DWT) is applied to the capacitor currents. The results indicate that the distributions of absolute amplitudes, polarities and spectrums of capacitor currents are unique under different fault types and locations, which can be used to detect and localize arc faults in PV systems.

AB - Arc faults threaten the safety operation of photovoltaics (PV) systems. An arc fault detection and localization approach using parallel capacitors is proposed. Five capacitors are paralleled with the branches of a PV system. Series and parallel arc faults are tested in the system. The amplitudes and polarities of the capacitor currents are obtained, and discrete wavelet transformation (DWT) is applied to the capacitor currents. The results indicate that the distributions of absolute amplitudes, polarities and spectrums of capacitor currents are unique under different fault types and locations, which can be used to detect and localize arc faults in PV systems.

KW - arc fault detection

KW - discrete waveform transform

KW - fault localization

KW - parallel arc

KW - parallel capacitor

KW - photovoltaic system

KW - series arc

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U2 - 10.1109/PVSC.2018.8547286

DO - 10.1109/PVSC.2018.8547286

M3 - 会议稿件

AN - SCOPUS:85059894816

T3 - 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion, WCPEC 2018 - A Joint Conference of 45th IEEE PVSC, 28th PVSEC and 34th EU PVSEC

SP - 1749

EP - 1753

BT - 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion, WCPEC 2018 - A Joint Conference of 45th IEEE PVSC, 28th PVSEC and 34th EU PVSEC

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 7th IEEE World Conference on Photovoltaic Energy Conversion, WCPEC 2018

Y2 - 10 June 2018 through 15 June 2018

ER -

Xiong Q, Feng X, Gattozzi AL, Liu X, Yang H, Ji S et al. Arc Fault Detection and Localization in Photovoltaic Systems Using Parallel Capacitors. In 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion, WCPEC 2018 - A Joint Conference of 45th IEEE PVSC, 28th PVSEC and 34th EU PVSEC. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1749-1753. 8547286. (2018 IEEE 7th World Conference on Photovoltaic Energy Conversion, WCPEC 2018 - A Joint Conference of 45th IEEE PVSC, 28th PVSEC and 34th EU PVSEC). doi: 10.1109/PVSC.2018.8547286

Arc Fault Detection and Localization in Photovoltaic Systems Using Parallel Capacitors

Abstract

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UN SDGs

Keywords

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