Detection of Line-to-Ground and Line-to-Line Faults Based on Fault Voltage Analysis in PV System

Wenchao Miao; Yanfang Luo; Yuchen Liu; Fei Wang; Fengyun Zhi; Xinyue Zhou

doi:10.1109/ICPRE55555.2022.9960496

Detection of Line-to-Ground and Line-to-Line Faults Based on Fault Voltage Analysis in PV System

Wenchao Miao, Yanfang Luo, Yuchen Liu, Fei Wang, Fengyun Zhi, Xinyue Zhou

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

8 Citations (Scopus)

Abstract

Line-to-ground (LG) faults and line-to-line (LL) faults reduce the operating efficiency of photovoltaic (PV) systems and even lead to severe accidents such as fire hazards. Since the maximum power point tracking controller can reduce the fault current, the conventional protection devices such as overcurrent protection device and grounding protection device can not be triggered. Therefore, in this paper, a voltage-sensing-based technique is proposed to accurately detect and locate LG faults and LL faults by analyzing the fault voltage. The voltage characteristics under various fault conditions are analyzed to develop the LG and LL fault detection and location algorithm. The simulation results verify that the proposed technique can detect and locate the LG and LL faults effectively.

Original language	English
Title of host publication	2022 IEEE 7th International Conference on Power and Renewable Energy, ICPRE 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	424-429
Number of pages	6
ISBN (Electronic)	9781665450638
DOIs	https://doi.org/10.1109/ICPRE55555.2022.9960496
Publication status	Published - 2022
Externally published	Yes
Event	7th IEEE International Conference on Power and Renewable Energy, ICPRE 2022 - Shanghai, China Duration: 23 Sept 2022 → 26 Sept 2022

Publication series

Name	2022 IEEE 7th International Conference on Power and Renewable Energy, ICPRE 2022

Conference

Conference	7th IEEE International Conference on Power and Renewable Energy, ICPRE 2022
Country/Territory	China
City	Shanghai
Period	23/09/22 → 26/09/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

LG fault detection
LL fault detection
PV system
fault voltage analysis

UN SDGs

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

Access to Document

10.1109/ICPRE55555.2022.9960496

Cite this

Miao, W., Luo, Y., Liu, Y., Wang, F., Zhi, F., & Zhou, X. (2022). Detection of Line-to-Ground and Line-to-Line Faults Based on Fault Voltage Analysis in PV System. In 2022 IEEE 7th International Conference on Power and Renewable Energy, ICPRE 2022 (pp. 424-429). (2022 IEEE 7th International Conference on Power and Renewable Energy, ICPRE 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPRE55555.2022.9960496

Miao, Wenchao ; Luo, Yanfang ; Liu, Yuchen et al. / Detection of Line-to-Ground and Line-to-Line Faults Based on Fault Voltage Analysis in PV System. 2022 IEEE 7th International Conference on Power and Renewable Energy, ICPRE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 424-429 (2022 IEEE 7th International Conference on Power and Renewable Energy, ICPRE 2022).

@inproceedings{3587ee8deabb40e2b4855da5948e9620,

title = "Detection of Line-to-Ground and Line-to-Line Faults Based on Fault Voltage Analysis in PV System",

abstract = "Line-to-ground (LG) faults and line-to-line (LL) faults reduce the operating efficiency of photovoltaic (PV) systems and even lead to severe accidents such as fire hazards. Since the maximum power point tracking controller can reduce the fault current, the conventional protection devices such as overcurrent protection device and grounding protection device can not be triggered. Therefore, in this paper, a voltage-sensing-based technique is proposed to accurately detect and locate LG faults and LL faults by analyzing the fault voltage. The voltage characteristics under various fault conditions are analyzed to develop the LG and LL fault detection and location algorithm. The simulation results verify that the proposed technique can detect and locate the LG and LL faults effectively.",

keywords = "LG fault detection, LL fault detection, PV system, fault voltage analysis",

author = "Wenchao Miao and Yanfang Luo and Yuchen Liu and Fei Wang and Fengyun Zhi and Xinyue Zhou",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 7th IEEE International Conference on Power and Renewable Energy, ICPRE 2022 ; Conference date: 23-09-2022 Through 26-09-2022",

year = "2022",

doi = "10.1109/ICPRE55555.2022.9960496",

language = "English",

series = "2022 IEEE 7th International Conference on Power and Renewable Energy, ICPRE 2022",

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

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booktitle = "2022 IEEE 7th International Conference on Power and Renewable Energy, ICPRE 2022",

}

Miao, W, Luo, Y, Liu, Y, Wang, F, Zhi, F & Zhou, X 2022, Detection of Line-to-Ground and Line-to-Line Faults Based on Fault Voltage Analysis in PV System. in 2022 IEEE 7th International Conference on Power and Renewable Energy, ICPRE 2022. 2022 IEEE 7th International Conference on Power and Renewable Energy, ICPRE 2022, Institute of Electrical and Electronics Engineers Inc., pp. 424-429, 7th IEEE International Conference on Power and Renewable Energy, ICPRE 2022, Shanghai, China, 23/09/22. https://doi.org/10.1109/ICPRE55555.2022.9960496

Detection of Line-to-Ground and Line-to-Line Faults Based on Fault Voltage Analysis in PV System. / Miao, Wenchao; Luo, Yanfang; Liu, Yuchen et al.
2022 IEEE 7th International Conference on Power and Renewable Energy, ICPRE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 424-429 (2022 IEEE 7th International Conference on Power and Renewable Energy, ICPRE 2022).

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

TY - GEN

T1 - Detection of Line-to-Ground and Line-to-Line Faults Based on Fault Voltage Analysis in PV System

AU - Miao, Wenchao

AU - Luo, Yanfang

AU - Liu, Yuchen

AU - Wang, Fei

AU - Zhi, Fengyun

AU - Zhou, Xinyue

PY - 2022

Y1 - 2022

N2 - Line-to-ground (LG) faults and line-to-line (LL) faults reduce the operating efficiency of photovoltaic (PV) systems and even lead to severe accidents such as fire hazards. Since the maximum power point tracking controller can reduce the fault current, the conventional protection devices such as overcurrent protection device and grounding protection device can not be triggered. Therefore, in this paper, a voltage-sensing-based technique is proposed to accurately detect and locate LG faults and LL faults by analyzing the fault voltage. The voltage characteristics under various fault conditions are analyzed to develop the LG and LL fault detection and location algorithm. The simulation results verify that the proposed technique can detect and locate the LG and LL faults effectively.

AB - Line-to-ground (LG) faults and line-to-line (LL) faults reduce the operating efficiency of photovoltaic (PV) systems and even lead to severe accidents such as fire hazards. Since the maximum power point tracking controller can reduce the fault current, the conventional protection devices such as overcurrent protection device and grounding protection device can not be triggered. Therefore, in this paper, a voltage-sensing-based technique is proposed to accurately detect and locate LG faults and LL faults by analyzing the fault voltage. The voltage characteristics under various fault conditions are analyzed to develop the LG and LL fault detection and location algorithm. The simulation results verify that the proposed technique can detect and locate the LG and LL faults effectively.

KW - LG fault detection

KW - LL fault detection

KW - PV system

KW - fault voltage analysis

UR - https://openalex.org/W4312771333

UR - https://www.scopus.com/pages/publications/85143966778

U2 - 10.1109/ICPRE55555.2022.9960496

DO - 10.1109/ICPRE55555.2022.9960496

M3 - Conference Paper published in a book

T3 - 2022 IEEE 7th International Conference on Power and Renewable Energy, ICPRE 2022

SP - 424

EP - 429

BT - 2022 IEEE 7th International Conference on Power and Renewable Energy, ICPRE 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 7th IEEE International Conference on Power and Renewable Energy, ICPRE 2022

Y2 - 23 September 2022 through 26 September 2022

ER -

Miao W, Luo Y, Liu Y, Wang F, Zhi F, Zhou X. Detection of Line-to-Ground and Line-to-Line Faults Based on Fault Voltage Analysis in PV System. In 2022 IEEE 7th International Conference on Power and Renewable Energy, ICPRE 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 424-429. (2022 IEEE 7th International Conference on Power and Renewable Energy, ICPRE 2022). doi: 10.1109/ICPRE55555.2022.9960496

Detection of Line-to-Ground and Line-to-Line Faults Based on Fault Voltage Analysis in PV System

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

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