A Post-Disaster Fault Recovery Model for Distribution Networks Considering Road Damage and Dual Repair Teams

Extreme weather, such as rainstorms, often triggers faults in the distribution network, and power outages occur. Some serious faults cannot be repaired by one team alone and may require equipment replacement or engineering construction crews to work together. Rainstorms can also lead to road damage...

Full description

Bibliographic Details
Published in:Energies
Main Authors: Wei Liu, Qingshan Xu, Minglei Qin, Yongbiao Yang
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Subjects:
Online Access:https://www.mdpi.com/1996-1073/17/20/5020
_version_ 1849989430748643328
author Wei Liu
Qingshan Xu
Minglei Qin
Yongbiao Yang
author_facet Wei Liu
Qingshan Xu
Minglei Qin
Yongbiao Yang
author_sort Wei Liu
collection DOAJ
container_title Energies
description Extreme weather, such as rainstorms, often triggers faults in the distribution network, and power outages occur. Some serious faults cannot be repaired by one team alone and may require equipment replacement or engineering construction crews to work together. Rainstorms can also lead to road damage or severe waterlogging, making some road sections impassable. Based on this, this paper first establishes a road network model to describe the dynamic changes in access performance and road damage. It provides the shortest time-consuming route suggestions for the traffic access of mobile class resources in the post-disaster recovery task of power distribution networks. Then, the model proposes a joint repair model with general repair crew (GRC) and senior repair crew (SRC) collaboration. Different types of faults match different functions of repair crews (RCs). Finally, the proposed scheme is simulated and analyzed in a road network and power grid extreme post-disaster recovery model, including a mobile energy storage system (MESS) and distributed power sources. The simulation finds that considering road damage and severe failures produces a significant difference in the progress and load loss of the recovery task. The model proposed in this paper is more suitable for the actual scenario requirements, and the simulation results and loss assessment obtained are more accurate and informative.
format Article
id doaj-art-fe44a1ffecf643cf8f8dc8b2d7b42d4a
institution Directory of Open Access Journals
issn 1996-1073
language English
publishDate 2024-10-01
publisher MDPI AG
record_format Article
spelling doaj-art-fe44a1ffecf643cf8f8dc8b2d7b42d4a2025-08-20T00:54:23ZengMDPI AGEnergies1996-10732024-10-011720502010.3390/en17205020A Post-Disaster Fault Recovery Model for Distribution Networks Considering Road Damage and Dual Repair TeamsWei Liu0Qingshan Xu1Minglei Qin2Yongbiao Yang3School of Electrical Engineering, Southeast University, Nanjing 210096, ChinaSchool of Electrical Engineering, Southeast University, Nanjing 210096, ChinaNanjing Power Supply Company, State Jiangsu Electric Power Co., Ltd., Nanjing 210019, ChinaSchool of Electrical Engineering, Southeast University, Nanjing 210096, ChinaExtreme weather, such as rainstorms, often triggers faults in the distribution network, and power outages occur. Some serious faults cannot be repaired by one team alone and may require equipment replacement or engineering construction crews to work together. Rainstorms can also lead to road damage or severe waterlogging, making some road sections impassable. Based on this, this paper first establishes a road network model to describe the dynamic changes in access performance and road damage. It provides the shortest time-consuming route suggestions for the traffic access of mobile class resources in the post-disaster recovery task of power distribution networks. Then, the model proposes a joint repair model with general repair crew (GRC) and senior repair crew (SRC) collaboration. Different types of faults match different functions of repair crews (RCs). Finally, the proposed scheme is simulated and analyzed in a road network and power grid extreme post-disaster recovery model, including a mobile energy storage system (MESS) and distributed power sources. The simulation finds that considering road damage and severe failures produces a significant difference in the progress and load loss of the recovery task. The model proposed in this paper is more suitable for the actual scenario requirements, and the simulation results and loss assessment obtained are more accurate and informative.https://www.mdpi.com/1996-1073/17/20/5020distribution network faultextreme disaster recoveryfault recoveryresilient distribution networkstransportation and distribution networks
spellingShingle Wei Liu
Qingshan Xu
Minglei Qin
Yongbiao Yang
A Post-Disaster Fault Recovery Model for Distribution Networks Considering Road Damage and Dual Repair Teams
distribution network fault
extreme disaster recovery
fault recovery
resilient distribution networks
transportation and distribution networks
title A Post-Disaster Fault Recovery Model for Distribution Networks Considering Road Damage and Dual Repair Teams
title_full A Post-Disaster Fault Recovery Model for Distribution Networks Considering Road Damage and Dual Repair Teams
title_fullStr A Post-Disaster Fault Recovery Model for Distribution Networks Considering Road Damage and Dual Repair Teams
title_full_unstemmed A Post-Disaster Fault Recovery Model for Distribution Networks Considering Road Damage and Dual Repair Teams
title_short A Post-Disaster Fault Recovery Model for Distribution Networks Considering Road Damage and Dual Repair Teams
title_sort post disaster fault recovery model for distribution networks considering road damage and dual repair teams
topic distribution network fault
extreme disaster recovery
fault recovery
resilient distribution networks
transportation and distribution networks
url https://www.mdpi.com/1996-1073/17/20/5020
work_keys_str_mv AT weiliu apostdisasterfaultrecoverymodelfordistributionnetworksconsideringroaddamageanddualrepairteams
AT qingshanxu apostdisasterfaultrecoverymodelfordistributionnetworksconsideringroaddamageanddualrepairteams
AT mingleiqin apostdisasterfaultrecoverymodelfordistributionnetworksconsideringroaddamageanddualrepairteams
AT yongbiaoyang apostdisasterfaultrecoverymodelfordistributionnetworksconsideringroaddamageanddualrepairteams
AT weiliu postdisasterfaultrecoverymodelfordistributionnetworksconsideringroaddamageanddualrepairteams
AT qingshanxu postdisasterfaultrecoverymodelfordistributionnetworksconsideringroaddamageanddualrepairteams
AT mingleiqin postdisasterfaultrecoverymodelfordistributionnetworksconsideringroaddamageanddualrepairteams
AT yongbiaoyang postdisasterfaultrecoverymodelfordistributionnetworksconsideringroaddamageanddualrepairteams