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 |
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| Médium: | Journal Article |
| Jazyk: | angličtina |
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Elsevier Ltd
01.04.2026
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| ISSN: | 0951-8320 |
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| Abstract | •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. |
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| AbstractList | •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. |
| ArticleNumber | 111954 |
| Author | Fei, Yan Mohamed, Mohamed A. Hong, Tan Qiujie, Wang Zhenxing, Li Hao, Xiao |
| Author_xml | – sequence: 1 givenname: Wang surname: Qiujie fullname: Qiujie, Wang organization: School of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, China – sequence: 2 givenname: Xiao surname: Hao fullname: Hao, Xiao organization: School of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, China – sequence: 3 givenname: Tan surname: Hong fullname: Hong, Tan email: tanhong@ctgu.edu.cn organization: School of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, China – sequence: 4 givenname: Li surname: Zhenxing fullname: Zhenxing, Li organization: School of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, China – sequence: 5 givenname: Yan surname: Fei fullname: Fei, Yan organization: ChangJiang Survey, Planning, Design and Research Co., Ltd., Wuhan, 430010, China – sequence: 6 givenname: Mohamed A. orcidid: 0000-0001-8700-0270 surname: Mohamed fullname: Mohamed, Mohamed A. email: dr.mohamed.abdelaziz@mu.edu.eg organization: Electrical Engineering Department, Faculty of Engineering, Minia University, Minia 61519, Egypt |
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| Cites_doi | 10.35833/MPCE.2024.000015 10.1109/TPWRS.2022.3193133 10.1016/j.apenergy.2023.121560 10.1016/j.ress.2024.110004 10.1049/gtd2.12819 10.1109/ACCESS.2019.2952362 10.1109/TPWRS.2022.3219519 10.1016/j.apenergy.2023.120892 10.1111/risa.13220 10.1016/j.ress.2023.109919 10.1109/TSG.2022.3209533 10.1049/iet-gtd.2019.0184 10.1016/j.ress.2023.109395 10.1016/j.apenergy.2017.05.012 10.1016/j.ress.2024.110603 |
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| Keywords | Pre-disaster resilience enhancement Temporal characteristics of typhoon evolution Distribution cyber-physical systems vulnerability model Cyber-physical collaborative control |
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