Communication Restoration and Fault Location in Distribution System by UAVs

Haochen Zhang; Chen Chen; Ruihuan Liu

doi:10.1109/EI259745.2023.10512384

Communication Restoration and Fault Location in Distribution System by UAVs

Haochen Zhang
, Chen Chen
, Ruihuan Liu

School of Electrical Engineering

Xi'an Jiaotong University

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

Abstract

The orderly and rapid restoration of the distribution system after disasters relies on the accuracy and reliability of fault identification, while disasters often damage communication links resulting in failure to report fault information in a timely manner. This paper proposes a two-stage communication restoration and fault location strategy, and adopts a method to construct a wireless emergency communication link between the remote fault indicator (RFI) and the distribution operating center to realize the communication restoration and real-time transmission of current information by using the unmanned aerial vehicles (UAVs) emergency communication in the first stage. Then, the fault location method according to the fault information of the RFIs is developed and takes into account the RFIs failures and malfunction in the second stage. The proposed method is verified the accuracy and validity by applying it to the IEEE 33-node distribution system.

Original language	English
Title of host publication	2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2941-2945
Number of pages	5
ISBN (Electronic)	9798350345094
DOIs	https://doi.org/10.1109/EI259745.2023.10512384
State	Published - 2023
Event	7th IEEE Conference on Energy Internet and Energy System Integration, EI2 2023 - Hangzhou, China Duration: 15 Dec 2023 → 18 Dec 2023

Publication series

Name	2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023

Conference

Conference	7th IEEE Conference on Energy Internet and Energy System Integration, EI2 2023
Country/Territory	China
City	Hangzhou
Period	15/12/23 → 18/12/23

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

communication restoration
fault location
remote fault indicator
resilience
unmanned aerial vehicles

Access to Document

10.1109/EI259745.2023.10512384

Cite this

Zhang, H., Chen, C., & Liu, R. (2023). Communication Restoration and Fault Location in Distribution System by UAVs. In 2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023 (pp. 2941-2945). (2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EI259745.2023.10512384

Zhang, Haochen ; Chen, Chen ; Liu, Ruihuan. / Communication Restoration and Fault Location in Distribution System by UAVs. 2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 2941-2945 (2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023).

@inproceedings{43ede2b97f9d487fa3c57aea0909715a,

title = "Communication Restoration and Fault Location in Distribution System by UAVs",

abstract = "The orderly and rapid restoration of the distribution system after disasters relies on the accuracy and reliability of fault identification, while disasters often damage communication links resulting in failure to report fault information in a timely manner. This paper proposes a two-stage communication restoration and fault location strategy, and adopts a method to construct a wireless emergency communication link between the remote fault indicator (RFI) and the distribution operating center to realize the communication restoration and real-time transmission of current information by using the unmanned aerial vehicles (UAVs) emergency communication in the first stage. Then, the fault location method according to the fault information of the RFIs is developed and takes into account the RFIs failures and malfunction in the second stage. The proposed method is verified the accuracy and validity by applying it to the IEEE 33-node distribution system.",

keywords = "communication restoration, fault location, remote fault indicator, resilience, unmanned aerial vehicles",

author = "Haochen Zhang and Chen Chen and Ruihuan Liu",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 7th IEEE Conference on Energy Internet and Energy System Integration, EI2 2023 ; Conference date: 15-12-2023 Through 18-12-2023",

year = "2023",

doi = "10.1109/EI259745.2023.10512384",

language = "英语",

series = "2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023",

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

pages = "2941--2945",

booktitle = "2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023",

}

Zhang, H, Chen, C & Liu, R 2023, Communication Restoration and Fault Location in Distribution System by UAVs. in 2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023. 2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023, Institute of Electrical and Electronics Engineers Inc., pp. 2941-2945, 7th IEEE Conference on Energy Internet and Energy System Integration, EI2 2023, Hangzhou, China, 15/12/23. https://doi.org/10.1109/EI259745.2023.10512384

Communication Restoration and Fault Location in Distribution System by UAVs. / Zhang, Haochen; Chen, Chen; Liu, Ruihuan.
2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 2941-2945 (2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023).

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

TY - GEN

T1 - Communication Restoration and Fault Location in Distribution System by UAVs

AU - Zhang, Haochen

AU - Chen, Chen

AU - Liu, Ruihuan

PY - 2023

Y1 - 2023

N2 - The orderly and rapid restoration of the distribution system after disasters relies on the accuracy and reliability of fault identification, while disasters often damage communication links resulting in failure to report fault information in a timely manner. This paper proposes a two-stage communication restoration and fault location strategy, and adopts a method to construct a wireless emergency communication link between the remote fault indicator (RFI) and the distribution operating center to realize the communication restoration and real-time transmission of current information by using the unmanned aerial vehicles (UAVs) emergency communication in the first stage. Then, the fault location method according to the fault information of the RFIs is developed and takes into account the RFIs failures and malfunction in the second stage. The proposed method is verified the accuracy and validity by applying it to the IEEE 33-node distribution system.

AB - The orderly and rapid restoration of the distribution system after disasters relies on the accuracy and reliability of fault identification, while disasters often damage communication links resulting in failure to report fault information in a timely manner. This paper proposes a two-stage communication restoration and fault location strategy, and adopts a method to construct a wireless emergency communication link between the remote fault indicator (RFI) and the distribution operating center to realize the communication restoration and real-time transmission of current information by using the unmanned aerial vehicles (UAVs) emergency communication in the first stage. Then, the fault location method according to the fault information of the RFIs is developed and takes into account the RFIs failures and malfunction in the second stage. The proposed method is verified the accuracy and validity by applying it to the IEEE 33-node distribution system.

KW - communication restoration

KW - fault location

KW - remote fault indicator

KW - resilience

KW - unmanned aerial vehicles

UR - https://www.scopus.com/pages/publications/85194190435

U2 - 10.1109/EI259745.2023.10512384

DO - 10.1109/EI259745.2023.10512384

M3 - 会议稿件

AN - SCOPUS:85194190435

T3 - 2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023

SP - 2941

EP - 2945

BT - 2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 7th IEEE Conference on Energy Internet and Energy System Integration, EI2 2023

Y2 - 15 December 2023 through 18 December 2023

ER -

Zhang H, Chen C, Liu R. Communication Restoration and Fault Location in Distribution System by UAVs. In 2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 2941-2945. (2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023). doi: 10.1109/EI259745.2023.10512384

Communication Restoration and Fault Location in Distribution System by UAVs

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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