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Contribution Analysis of Factors Affecting Magnetic Induction Voltage in Subways Using the BP-MIV
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Jiangtao LIU, Haiyang GAO, Ru WEI, Tingji CHEN, Lian YANG, Qiaona YAN, Weijun KONG
Urban Rapid Rail Transit | 2024, 37(3) : 149 - 158
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Urban Rapid Rail Transit | 2024, 37(3): 149-158
Electrical and Mechanical Engineering
Contribution Analysis of Factors Affecting Magnetic Induction Voltage in Subways Using the BP-MIV
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Jiangtao LIU, Haiyang GAO, Ru WEI, Tingji CHEN, Lian YANG, Qiaona YAN, Weijun KONG
Affiliations
  • Nanjing Power Supply Branch of State Grid Jiangsu Electric Power Company Limited Nanjing 210019
doi: 10.3969/j.issn.1672-6073.2024.03.020
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Metro traction current changes dynamically during train operation, resulting in magneticinduced voltage in the peripheral grid circuit, which is one of the key challenges that cause transformers to undergo DC demagnetization. The generation of magnetic induction voltage is affected by various factors. To quantitatively analyze the size of the contribution of different influencing factors, this paper uses the magnetic induction voltage formula to derive the main influencing factors of the magnetic induction voltage of the subway. Subsequently, the “subway linetransmission line” magnetic coupling boundary element model is established to simulate and analyze the influence of the key factors on the induction voltage. The influence of the key factors on the induction voltage is analyzed. During the smooth running of the train, the induced voltage is not significantly affected, and at 1000 m, the induced voltage is attenuated by 90%. We constructed the backpropagation (BP) neural network to generate the magnetically induced voltage and analyzed the contribution of each influencing factor to the magnetically induced voltage using the mean impact value (MIV). The results show that the main influencing factors in the equivalent loop of the subway are the same as those in the grid, and the magnetically induced voltage in the equivalent loop is the same as that in the grid. The results show that the magnetic induction voltage in the equivalent loop is more likely to be influenced by the equivalent loop length, the contribution of which is 44.38%, and the relative distance has the smallest contribution of 21.31%. Therefore, the area of the power system constituting the equivalent loop is the most important factor affecting the magnetic induction voltage.

metro  /  magnetic induction voltage  /  BP neural network  /  MIV algorithm  /  power system  /  degree of contribution
Jiangtao LIU, Haiyang GAO, Ru WEI, Tingji CHEN, Lian YANG, Qiaona YAN, Weijun KONG. Contribution Analysis of Factors Affecting Magnetic Induction Voltage in Subways Using the BP-MIV[J]. Urban Rapid Rail Transit, 2024 , 37 (3) : 149 -158 . DOI: 10.3969/j.issn.1672-6073.2024.03.020
Year 2024 volume 37 Issue 3
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doi: 10.3969/j.issn.1672-6073.2024.03.020
  • Receive Date:2023-12-13
  • Online Date:2025-07-09
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  • Received:2023-12-13
  • Revised:2024-01-11
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    Nanjing Power Supply Branch of State Grid Jiangsu Electric Power Company Limited Nanjing 210019
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
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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