UAV-Assisted Communication Restoration and Fault Location Coordinated Strategy in Distribution Systems

Haochen Zhang; Chen Chen; Ruihuan Liu; Zhaohong Bie; Yang Li

doi:10.1109/PESGM51994.2024.10689121

UAV-Assisted Communication Restoration and Fault Location Coordinated Strategy in Distribution Systems

Haochen Zhang
, Chen Chen
, Ruihuan Liu
, Zhaohong Bie
, Yang Li

School of Electrical Engineering

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

4 Scopus citations

Abstract

The orderly and rapid restoration of the distribution system (DS) after disasters relies on the accuracy and reliability of fault location. Disasters may also damage communication infrastructure, e.g., wireless base stations, resulting in failure to report fault information detected by remote fault indicators (RFIs) in a timely manner. By utilizing the emergency wireless communication via unmanned aerial vehicles (UAVs), this paper proposes a UAV-assisted communication restoration and fault location coordinated strategy. Designing multiple objectives, the strategy co-optimizes the communication restoration and fault location to get the UAVs' flight trajectory as well as to identify the fault location and RFI abnormalities. The proposed method is verified for accuracy and validity by applying it to the IEEE 33-node system.

Original language	English
Title of host publication	2024 IEEE Power and Energy Society General Meeting, PESGM 2024
Publisher	IEEE Computer Society
ISBN (Electronic)	9798350381832
DOIs	https://doi.org/10.1109/PESGM51994.2024.10689121
State	Published - 2024
Event	2024 IEEE Power and Energy Society General Meeting, PESGM 2024 - Seattle, United States Duration: 21 Jul 2024 → 25 Jul 2024

Publication series

Name	IEEE Power and Energy Society General Meeting
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Conference

Conference	2024 IEEE Power and Energy Society General Meeting, PESGM 2024
Country/Territory	United States
City	Seattle
Period	21/07/24 → 25/07/24

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

communication restoration
distribution system resilience
fault location
remote fault indicator
unmanned aerial vehicle

Access to Document

10.1109/PESGM51994.2024.10689121

Cite this

@inproceedings{d2d70b3812a446188b856f4591dd88ca,

title = "UAV-Assisted Communication Restoration and Fault Location Coordinated Strategy in Distribution Systems",

abstract = "The orderly and rapid restoration of the distribution system (DS) after disasters relies on the accuracy and reliability of fault location. Disasters may also damage communication infrastructure, e.g., wireless base stations, resulting in failure to report fault information detected by remote fault indicators (RFIs) in a timely manner. By utilizing the emergency wireless communication via unmanned aerial vehicles (UAVs), this paper proposes a UAV-assisted communication restoration and fault location coordinated strategy. Designing multiple objectives, the strategy co-optimizes the communication restoration and fault location to get the UAVs' flight trajectory as well as to identify the fault location and RFI abnormalities. The proposed method is verified for accuracy and validity by applying it to the IEEE 33-node system.",

keywords = "communication restoration, distribution system resilience, fault location, remote fault indicator, unmanned aerial vehicle",

author = "Haochen Zhang and Chen Chen and Ruihuan Liu and Zhaohong Bie and Yang Li",

note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2024 IEEE Power and Energy Society General Meeting, PESGM 2024 ; Conference date: 21-07-2024 Through 25-07-2024",

year = "2024",

doi = "10.1109/PESGM51994.2024.10689121",

language = "英语",

series = "IEEE Power and Energy Society General Meeting",

publisher = "IEEE Computer Society",

booktitle = "2024 IEEE Power and Energy Society General Meeting, PESGM 2024",

}

Zhang, H, Chen, C, Liu, R, Bie, Z & Li, Y 2024, UAV-Assisted Communication Restoration and Fault Location Coordinated Strategy in Distribution Systems. in 2024 IEEE Power and Energy Society General Meeting, PESGM 2024. IEEE Power and Energy Society General Meeting, IEEE Computer Society, 2024 IEEE Power and Energy Society General Meeting, PESGM 2024, Seattle, United States, 21/07/24. https://doi.org/10.1109/PESGM51994.2024.10689121

UAV-Assisted Communication Restoration and Fault Location Coordinated Strategy in Distribution Systems. / Zhang, Haochen; Chen, Chen; Liu, Ruihuan et al.
2024 IEEE Power and Energy Society General Meeting, PESGM 2024. IEEE Computer Society, 2024. (IEEE Power and Energy Society General Meeting).

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

TY - GEN

T1 - UAV-Assisted Communication Restoration and Fault Location Coordinated Strategy in Distribution Systems

AU - Zhang, Haochen

AU - Chen, Chen

AU - Liu, Ruihuan

AU - Bie, Zhaohong

AU - Li, Yang

PY - 2024

Y1 - 2024

N2 - The orderly and rapid restoration of the distribution system (DS) after disasters relies on the accuracy and reliability of fault location. Disasters may also damage communication infrastructure, e.g., wireless base stations, resulting in failure to report fault information detected by remote fault indicators (RFIs) in a timely manner. By utilizing the emergency wireless communication via unmanned aerial vehicles (UAVs), this paper proposes a UAV-assisted communication restoration and fault location coordinated strategy. Designing multiple objectives, the strategy co-optimizes the communication restoration and fault location to get the UAVs' flight trajectory as well as to identify the fault location and RFI abnormalities. The proposed method is verified for accuracy and validity by applying it to the IEEE 33-node system.

AB - The orderly and rapid restoration of the distribution system (DS) after disasters relies on the accuracy and reliability of fault location. Disasters may also damage communication infrastructure, e.g., wireless base stations, resulting in failure to report fault information detected by remote fault indicators (RFIs) in a timely manner. By utilizing the emergency wireless communication via unmanned aerial vehicles (UAVs), this paper proposes a UAV-assisted communication restoration and fault location coordinated strategy. Designing multiple objectives, the strategy co-optimizes the communication restoration and fault location to get the UAVs' flight trajectory as well as to identify the fault location and RFI abnormalities. The proposed method is verified for accuracy and validity by applying it to the IEEE 33-node system.

KW - communication restoration

KW - distribution system resilience

KW - fault location

KW - remote fault indicator

KW - unmanned aerial vehicle

UR - https://www.scopus.com/pages/publications/85207440833

U2 - 10.1109/PESGM51994.2024.10689121

DO - 10.1109/PESGM51994.2024.10689121

M3 - 会议稿件

AN - SCOPUS:85207440833

T3 - IEEE Power and Energy Society General Meeting

BT - 2024 IEEE Power and Energy Society General Meeting, PESGM 2024

PB - IEEE Computer Society

T2 - 2024 IEEE Power and Energy Society General Meeting, PESGM 2024

Y2 - 21 July 2024 through 25 July 2024

ER -

UAV-Assisted Communication Restoration and Fault Location Coordinated Strategy in Distribution Systems

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this