Enhancing pre-disaster resilience of distribution networks considering temporal characteristics of typhoon disasters and cyber-physical collaborative control

•A typhoon-temporal-aware dynamic analysis method for distribution grids.•Quantifying typhoon impacts across different periods.•Overcome static assumption that simplifies typhoon as instantaneous uniform events.•A cyber-physical collaborative pre-disaster resilience enhancement planning model.•Incor...

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Vydáno v:Reliability engineering & system safety Ročník 268; s. 111954
Hlavní autoři: Qiujie, Wang, Hao, Xiao, Hong, Tan, Zhenxing, Li, Fei, Yan, Mohamed, Mohamed A.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier Ltd 01.04.2026
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ISSN:0951-8320
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Shrnutí:•A typhoon-temporal-aware dynamic analysis method for distribution grids.•Quantifying typhoon impacts across different periods.•Overcome static assumption that simplifies typhoon as instantaneous uniform events.•A cyber-physical collaborative pre-disaster resilience enhancement planning model.•Incorporate dynamic responses of typhoon into pre-disaster resilience frameworks. Typhoon disasters threaten the operational security and stability of Distribution Cyber-Physical Systems (DCPS). Existing studies on enhancing pre-disaster resilience of distribution networks ignore the temporal characteristics of typhoon evolution and the system’s real-time response during disasters, resulting in preventive strategies that fail to meet practical operational requirements. To address this limitation, this study proposes a pre-disaster resilience enhancement scheme for DCPS that integrates the temporal characteristics of typhoon evolution and cyber-physical collaborative control. First, a vulnerability model of DCPS is established, where historical typhoon data are utilized to derive failure probabilities of power lines and communication links, followed by Monte Carlo simulations to generate a set of typical disaster scenarios. Second, considering the coupling between cyber and physical systems, the real-time responses of DCPS under multiple disaster scenarios are simulated to develop a resilience optimization model, from which the optimal pre-disaster reinforcement strategy is derived. Finally, simulation analyses on the PG&E69 distribution system and IEEE 123-node test system demonstrate that the proposed scheme effectively enhances both resilience and cost-effectiveness of DCPS, providing theoretical support for resilience optimization under typhoon disasters.
ISSN:0951-8320
DOI:10.1016/j.ress.2025.111954