A Method for Restoring Power Supply to Distribution Networks Considering the Coordination of Multiple Resources Under Typhoon-Induced Waterlogging Disasters

Hao Dai, Dafu Liu, Guowei Liu, Hao Deng, Lisheng Xin, Longlong Shang, Ziyu Liu, Ziwen Xu, Jiaju Shi and Chen Chen ()
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Hao Dai: Shenzhen Power Supply Co., Ltd., Shenzhen 518000, China
Dafu Liu: School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710000, China
Guowei Liu: Shenzhen Power Supply Co., Ltd., Shenzhen 518000, China
Hao Deng: Shenzhen Power Supply Co., Ltd., Shenzhen 518000, China
Lisheng Xin: Shenzhen Power Supply Co., Ltd., Shenzhen 518000, China
Longlong Shang: Shenzhen Power Supply Co., Ltd., Shenzhen 518000, China
Ziyu Liu: School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710000, China
Ziwen Xu: School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710000, China
Jiaju Shi: School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710000, China
Chen Chen: School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710000, China

Energies, 2025, vol. 18, issue 5, 1-17

Abstract: Recently, frequent typhoons and waterlogging disasters have caused severe damage to the power distribution networks in coastal cities. In response to this issue, how to efficiently develop recovery plans and achieve flexible resource coordination has become key for urban power grids in regard to coping with extreme natural disasters. Therefore, this article proposes a multi type flexible resource collaborative scheduling method for power supply restoration in distribution networks which realizes cooperation between maintenance teams and mobile energy storage in the scenario of wind and flood composite disasters, simultaneously completing the transfer of important loads through topology reconstruction. Firstly, a damage model for distribution network nodes and lines under wind–flood composite disasters was established to address the impact of typhoons and waterlogging disasters on the distribution network. Then, based on the inherent characteristics of multiple types of flexible resources, various collaborative recovery models for flexible resources after disasters were established. Finally, the effectiveness of the proposed method was verified through the coupling example of a 33-node distribution network and a 30-node transportation network.

Keywords: distribution power network; resilience; repair teams; mobile energy storage; collaborative restoration; waterlogging disaster (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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