Restoration Strategy for Urban Power Distribution Systems Considering Coupling with Transportation Networks Under Heavy Rainstorm Disasters

Dongli Jia, Zhao Li (), Yongle Dong, Xiaojun Wang, Mingcong Lin, Kaiyuan He, Xiaoyu Yang and Jiajing Liu
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Dongli Jia: China Electric Power Research Institute, Beijing 100192, China
Zhao Li: China Electric Power Research Institute, Beijing 100192, China
Yongle Dong: School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China
Xiaojun Wang: School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China
Mingcong Lin: School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China
Kaiyuan He: China Electric Power Research Institute, Beijing 100192, China
Xiaoyu Yang: China Electric Power Research Institute, Beijing 100192, China
Jiajing Liu: China Electric Power Research Institute, Beijing 100192, China

Energies, 2025, vol. 18, issue 2, 1-18

Abstract: With the increasing frequency of extreme weather events such as heavy rainstorm disasters, the stable operation of power systems is facing significant challenges. This paper proposes a two-stage restoration strategy for the distribution networks (DNs). First, a grid-based modeling approach is developed for urban DNs and transportation networks (TNs), capturing the dynamic evolution of heavy rainstorm disasters and more accurately modeling the impact on TNs and DNs. Then, a two-stage restoration strategy is designed for the DN by coordinating soft open points (SOPs) and mobile energy storage systems (MESSs). In the disaster progression stage, SOPs are utilized to enable the flexible reconfiguration and islanding of the DN, minimizing load loss. In the post-disaster recovery stage, the MESS and repair crew are optimally dispatched, taking into account the state of the TN to expedite power restoration. Finally, the experimental results demonstrate that the proposed method reduces load loss during restoration by 8.09% compared to approaches without precise TN and DN modeling.

Keywords: heavy rainstorm disasters; transportation network; two-stage restoration; mobile energy storage systems; distribution network reconfiguration (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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