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Lightning Strike Warning in Wind Farm Delivery System Based on Stepped Calculation Method
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Miao YU1, 2, Yi-xiao WU1, 2, Shuo-shuo TIAN3, Jia-xin YAN1, 2, Jian-qun SUN1, 2, Bin SONG4
Science Technology and Engineering | 2025, 25(16) : 6789 - 6796
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Science Technology and Engineering | 2025, 25(16): 6789-6796
Papers·Automation and Computational Technology
Lightning Strike Warning in Wind Farm Delivery System Based on Stepped Calculation Method
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Miao YU1, 2, Yi-xiao WU1, 2, Shuo-shuo TIAN3, Jia-xin YAN1, 2, Jian-qun SUN1, 2, Bin SONG4
Affiliations
  • 1 School of Mechanical-electronic and Vehicle Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China
  • 2 Beijing Engineering Research Center for Building Safety Inspection, Beijing 100044, China
  • 3 School of Electrical Engineering, Shandong University, Jinan 250061, China
  • 4 Renewable Energy Generation System Research Department, Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, China
Published: 2025-06-08 doi: 10.12404/j.issn.1671-1815.2406617
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The advantages of renewable wind energy lead to a rapid growth in the scale of wind power, while lightning strike accidents on wind farm delivery systems have a significant impact on the new power system. The traditional lightning strike warning method requires high data types and sample sizes, and lacks consideration of relative location as well as the distribution of lightning density. A lightning strike warning method for wind farm delivery systems based on the stepped lightning strike probability calculation method was proposed. Firstly, the data of lightning points around a wind farm in Hainan, China in 2020 were analyzed, and the Monte Carlo method was used to find the center of mass of the clusters as well as the density of lightning points to fit the trajectory of the thunderclouds. Then, based on the relative position of the movement trajectory and transmission line, the stepped lightning strike probability calculation method was combined to calculate the value of the lightning strike probability in a short period of time. Finally, the simulation was combined with the operation monitoring data of a wind farm in Hainan from 2020 to 2022. The results show that the relative error of the proposed method is within 15%, and the impact of the difference in the density of lightning points on the warning accuracy is effectively reduced, which ensures the safety of the wind farm delivery system.

lightning strike warning  /  wind farm delivery system  /  stepped lightning strike probability calculation method  /  Monte Carlo method  /  transmission line
Miao YU, Yi-xiao WU, Shuo-shuo TIAN, Jia-xin YAN, Jian-qun SUN, Bin SONG. Lightning Strike Warning in Wind Farm Delivery System Based on Stepped Calculation Method[J]. Science Technology and Engineering, 2025 , 25 (16) : 6789 -6796 . DOI: 10.12404/j.issn.1671-1815.2406617
Year 2025 volume 25 Issue 16
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Article Info
doi: 10.12404/j.issn.1671-1815.2406617
  • Receive Date:2024-09-03
  • Online Date:2025-07-09
  • Published:2025-06-08
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History
  • Received:2024-09-03
  • Revised:2025-03-20
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Affiliations
    1 School of Mechanical-electronic and Vehicle Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China
    2 Beijing Engineering Research Center for Building Safety Inspection, Beijing 100044, China
    3 School of Electrical Engineering, Shandong University, Jinan 250061, China
    4 Renewable Energy Generation System Research Department, Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, China
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表12种不同金属材料的力学参数

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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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