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Study on Identification Method of Hidden Danger for Power Utilization of Low-voltage Users Based on SSAE-SSA-GRU
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Bo PANG, Jing MENG, Yang ZHANG, Na TA, Haibo WANG, Jing DU
Electric Drive | 2025, 55(7) : 78 - 86
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Electric Drive | 2025, 55(7): 78-86
Study on Identification Method of Hidden Danger for Power Utilization of Low-voltage Users Based on SSAE-SSA-GRU
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Bo PANG, Jing MENG, Yang ZHANG, Na TA, Haibo WANG, Jing DU
Affiliations
  • Inner Mongolia Electric Power(Group)Co.,Ltd. Alxa Power Supply Branch,Alxa League 750300,Nei Mongol,China
Published: 2025-07-20 doi: 10.19457/j.1001-2095.dqcd26165
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The accurate identification of hidden danger for power utilization in low-voltage substations plays an important role in improving the quality of power supply and reducing the risk of accidents.To improve the accuracy of identifying hidden danger in low-voltage substations,a low-voltage user hidden danger for power utilization identification model based on SSAE-SSA-GRU was proposed. Firstly,the user's original voltage data was normalized,and the feature parameters of the data were extracted through a stacked spares auto-encoder(SSAE)to solve the redundancy problem caused by the high dimensionality of the original voltage data. Then,the sparrow search algorithm(SSA)was introduced to optimize the hyperparameters of the gated recurrent unit(GRU)network,improving the accuracy of the model's fault diagnosis results.Finally,the performance of the established SSAE-SSA-GRU model was evaluated through numerical examples,verifying the effectiveness of the proposed method in identifying hidden danger for power utilization for low-voltage users. Compared with traditional methods for identifying abnormal electricity usage,the proposed method has good convergence and high accuracy.

low-voltage substation users  /  identification of hidden danger for power utilization  /  stacked spares auto-encoder(SSAE)  /  sparrow search algorithm(SSA)  /  gated recurrentl unit(GRU)
Bo PANG, Jing MENG, Yang ZHANG, Na TA, Haibo WANG, Jing DU. Study on Identification Method of Hidden Danger for Power Utilization of Low-voltage Users Based on SSAE-SSA-GRU[J]. Electric Drive, 2025 , 55 (7) : 78 -86 . DOI: 10.19457/j.1001-2095.dqcd26165
Year 2025 volume 55 Issue 7
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doi: 10.19457/j.1001-2095.dqcd26165
  • Receive Date:2024-09-11
  • Online Date:2025-10-29
  • Published:2025-07-20
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  • Received:2024-09-11
  • Revised:2024-10-16
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    Inner Mongolia Electric Power(Group)Co.,Ltd. Alxa Power Supply Branch,Alxa League 750300,Nei Mongol,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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