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An adaptive nested dynamic downscaling strategy of wind-field for real-time risk forecast of power transmission systems during tropical cyclones

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  • Huang, Xiubing
  • Wang, Naiyu

Abstract

High winds from tropical cyclones can cause significant damages to power transmission system and lead to widespread power outages resulting in tangible socio-economic losses. Meteorological numerical weather prediction (NWP) models can provide real-time wind-field forecasts, making it possible to conduct real-time risk forecasts of regional-scale power transmission systems in order to inform proactive risk mitigation interventions. However, the operationally employed NWP simulates wind-fields at mesoscales (1∼10km) which is too coarse to capture the wind dynamics of transmission towers (generally covering an area of 25m*25m or less) and conductors over complex terrains. While dynamic downscaling can resolve topographic features into mesoscale wind-field to obtain small-scale (100m∼1km) or micro-scale (10∼100m) wind predictions, it requires practically unattainable computational resources for regional-scale operations in real-time. To address these challenges, we propose an Adaptive Nested Dynamic Downscaling (ANDD) strategy, which (i) spatially considers terrain features, and topology and failure mechanisms of transmission systems; and (ii) temporally adapts to the evolution of an approaching cyclone in real time, enabling the downscaling domains to be reconfigured based on the latest mesoscale NWP. The advantages of the ANDD strategy are illustrated through the power transmission system in Zhejiang Province (105,500 km2), China, during Super Typhoon Lekima of 2019.

Suggested Citation

  • Huang, Xiubing & Wang, Naiyu, 2024. "An adaptive nested dynamic downscaling strategy of wind-field for real-time risk forecast of power transmission systems during tropical cyclones," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
    • Handle: RePEc:eee:reensy:v:242:y:2024:i:c:s0951832023006452
    DOI: 10.1016/j.ress.2023.109731
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    References listed on IDEAS

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    1. Wang, Hongping & Fang, Yi-Ping & Zio, Enrico, 2022. "Resilience-oriented optimal post-disruption reconfiguration for coupled traffic-power systems," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    2. Ferrario, E. & Poulos, A. & Castro, S. & de la Llera, J.C. & Lorca, A., 2022. "Predictive capacity of topological measures in evaluating seismic risk and resilience of electric power networks," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    3. Hasanzad, Fardin & Rastegar, Hasan, 2022. "Application of optimal hardening for improving resilience of integrated power and natural gas system in case of earthquake," Reliability Engineering and System Safety, Elsevier, vol. 223(C).
    4. Peter Bauer & Alan Thorpe & Gilbert Brunet, 2015. "The quiet revolution of numerical weather prediction," Nature, Nature, vol. 525(7567), pages 47-55, September.
    5. Hou, Hui & Liu, Chao & Wei, Ruizeng & He, Huan & Wang, Lei & Li, Weibo, 2023. "Outage duration prediction under typhoon disaster with stacking ensemble learning," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    6. Salman, Abdullahi M. & Li, Yue & Bastidas-Arteaga, Emilio, 2017. "Maintenance optimization for power distribution systems subjected to hurricane hazard, timber decay and climate change," Reliability Engineering and System Safety, Elsevier, vol. 168(C), pages 136-149.
    7. De Iuliis, Melissa & Kammouh, Omar & Cimellaro, Gian Paolo & Tesfamariam, Solomon, 2021. "Quantifying restoration time of power and telecommunication lifelines after earthquakes using Bayesian belief network model," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
    8. Kairui Feng & Min Ouyang & Ning Lin, 2022. "Tropical cyclone-blackout-heatwave compound hazard resilience in a changing climate," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    9. Lu, Qin & Zhang, Wei, 2022. "Integrating dynamic Bayesian network and physics-based modeling for risk analysis of a time-dependent power distribution system during hurricanes," Reliability Engineering and System Safety, Elsevier, vol. 220(C).
    10. Jalilpoor, Kamran & Oshnoei, Arman & Mohammadi-Ivatloo, Behnam & Anvari-Moghaddam, Amjad, 2022. "Network hardening and optimal placement of microgrids to improve transmission system resilience: A two-stage linear program," Reliability Engineering and System Safety, Elsevier, vol. 224(C).
    11. Xie, Haipeng & Tang, Lingfeng & Zhu, Hao & Cheng, Xiaofeng & Bie, Zhaohong, 2023. "Robustness assessment and enhancement of deep reinforcement learning-enabled load restoration for distribution systems," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    12. Liu, Xiaohang & Zheng, Shansuo & Wu, Xinxia & Chen, Dianxin & He, Jinchuan, 2021. "Research on a seismic connectivity reliability model of power systems based on the quasi-Monte Carlo method," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    13. Xue, Jiayue & Mohammadi, Farshad & Li, Xin & Sahraei-Ardakani, Mostafa & Ou, Ge & Pu, Zhaoxia, 2020. "Impact of transmission tower-line interaction to the bulk power system during hurricane," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    14. Xiao, Yuanhao & Zhao, Xudong & Wu, Yipeng & Chen, Zhilong & Gong, Huadong & Zhu, Lihong & Liu, Ying, 2022. "Seismic resilience assessment of urban interdependent lifeline networks," Reliability Engineering and System Safety, Elsevier, vol. 218(PB).
    15. Ma, Liyang & Christou, Vasileios & Bocchini, Paolo, 2022. "Framework for probabilistic simulation of power transmission network performance under hurricanes," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    16. Venkateswaran V, Balaji & Saini, Devender Kumar & Sharma, Madhu, 2021. "Techno-economic hardening strategies to enhance distribution system resilience against earthquake," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
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