风暴潮灾害下沿海城市变电站断电预警

doi:10.13335/j.1000-3673.pst.2024.0197

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风暴潮灾害下沿海城市变电站断电预警

更新时间：2025-10-18

- 风暴潮灾害下沿海城市变电站断电预警
- Issue 2, Pages: 481-489(2025)
- 作者机构：
  
  1. 1.东北电力大学电气工程学院
  2. 2.长春工程学院电气与信息工程学院
  3. 3.电力传输与功率变换控制教育部重点实验室(上海交通大学)
  4. 4.国网淄博供电公司
- 作者简介：
- 基金信息：
- DOI：10.13335/j.1000-3673.pst.2024.0197
  CLC： TM63;TP277
- Published：2025
- 稿件说明：
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[J]. 2025, (2): 481-489.
DOI：

[J]. 2025, (2): 481-489. DOI： 10.13335/j.1000-3673.pst.2024.0197.

摘要

风暴潮灾害会导致停电，需要先进的态势感知技术确保风暴潮期间的电网安全。以往的研究都是针对台风灾害而设计的，并没有考虑到风暴潮对变电站的影响。为了解决以上问题，提出一个能够感知风暴潮期间电网安全态势的框架，利用地理、气象数据和电力设备信息，对变电站发出停电警告。首先，采用ArcGIS 10.8地理信息系统收集沿海城市的高分辨率激光雷达数据，从而构建能够实现镜像计算的数字孪生体。然后，将地理、气象数据和电力设备信息输入Stacking模型，实现确定性和概率性的停电预警。最后，将该框架应用于一个中国沿海城市。结果表明，上述框架在不同尺度的数据集上都具备有效性和准确性。

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references

Zhang Lidong,Li Jiao,Xu Xiandong,Liu Fengrui,Guo Yuanjun,Yang Zhile,Hu Tianyu.High spatial granularity residential heating load forecast based on Dendrite net model[J].Energy,2023.

Liu Fengrui,Yin Yikun,Li Baitong.A novel probabilistic framework with interpretability for generator coherency identification[J].International Journal of Electrical Power and Energy Systems,2022.

Liu Fengrui,Li Yang,Li Baitong,Li Jiaxin,Xie Huiyang.Bitcoin transaction strategy construction based on deep reinforcement learning[J].Applied Soft Computing Journal,2021.

Eileen B. Watson,Amir Hossein Etemadi.Modeling Electrical Grid Resilience Under Hurricane Wind Conditions With Increased Solar and Wind Power Generation[J].IEEE Transactions on Power Systems,2020.

Liang Gao,Limin Zhang,Xueyou Li,Shengyang Zhou.Evaluating Metropolitan Flood Coping Capabilities under Heavy Storms[J].Journal of Hydrologic Engineering,2019(6).

Ma Shanshan,Chen Bokan,Wang Zhaoyu.Resilience Enhancement Strategy for Distribution Systems Under Extreme Weather Events[J].IEEE Transactions on Smart Grid,2018.

Panteli Mathaios,Pickering Cassandra,Wilkinson Sean,Dawson Richard,Mancarella Pierluigi.Power System Resilience to Extreme Weather: Fragility Modeling, Probabilistic Impact Assessment, and Adaptation Measures[J].IEEE Transactions on Power Systems,2017.

Panteli Mathaios,Trakas Dimitris N.,Mancarella Pierluigi,Hatziargyriou Nikos D..Power Systems Resilience Assessment: Hardening and Smart Operational Enhancement Strategies[J].Proceedings of the IEEE,2017.

L. Gao,L.M. Zhang,H.X. Chen,P. Shen.Simulating debris flow mobility in urban settings[J].Engineering Geology,2016.

Xinyi Shen,Yang Hong,Ke Zhang,Zengchao Hao.Refining a Distributed Linear Reservoir Routing Method to Improve Performance of the CREST Model[J].Journal of Hydrologic Engineering,2016.

Thomas R. Kjeldsen,Hyeonjun Kim,Cheol-Hee Jang,Hyosang Lee.Evidence and Implications of Nonlinear Flood Response in a Small Mountainous Watershed[J].Journal of Hydrologic Engineering,2016.

Ali Arab,Eylem Tekin,Amin Khodaei,Suresh K. Khator,Zhu Han.System Hardening and Condition-Based Maintenance for Electric Power Infrastructure Under Hurricane Effects.[J].IEEE Trans. Reliability,2016.

Panteli, Mathaios,Trakas, Dimitris N.,Mancarella, Pierluigi,Hatziargyriou, Nikos D..Boosting the Power Grid Resilience to Extreme Weather Events Using Defensive Islanding[J].IEEE transactions on smart grid,2016.

Mohammed M. Rahman,Zhulu Lin,Xinhua Jia,Dean D. Steele,Thomas M. DeSutter.Impact of subsurface drainage on streamflows in the Red River of the North basin[J].Journal of Hydrology,2014.

乔非,翟晓东,王巧玲.面向多维特性数据的缺失值检测及填补方法对比[J].同济大学学报(自然科学版),2023(12).

荣俊杰,周明,元博,李海峰,武昭原.台风天气考虑故障演化的电力系统韧性评估方法[J].电网技术,2024(03).

何锦华,刘洋,朱誉,杨一宁,陆秋瑜,胡泽春.融合物理信息的TPA-LSTM网络应用于台风条件下海上风电场风速多步预测[J].电网技术,2023(10).

孙为民,孙华东,何剑,屠竞哲,张国宾.面向严重自然灾害的电力系统韧性评估技术综述[J].电网技术,2024(01).

陈厚合,杨政,裴玮,叶华,刘丰瑞.风电并网系统数字孪生及故障态势辨识[J].电工电能新技术,2022(11).

李永刚,王月,刘丰瑞,吴滨源.基于Stacking融合的短期风速预测组合模型[J].电网技术,2020(08).

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