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Research on Fault Diagnosis Model of Small Substation Based on Cooperative Game and Cloud Model
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Ting KE, Songlin TIAN, Hai ZHOU
Electric Drive | 2024, 54(2) : 82 - 87
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Electric Drive | 2024, 54(2): 82-87
Research on Fault Diagnosis Model of Small Substation Based on Cooperative Game and Cloud Model
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Ting KE, Songlin TIAN, Hai ZHOU
Affiliations
  • Southern Power Grid Shenzhen Digital Power Grid Research Institute Co.,Ltd.,Shenzhen 518000,Guangdong,China
Published: 2024-02-20 doi: 10.19457/j.1001-2095.dqcd24783
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In order to solve the problem of low accuracy of small substation fault diagnosis,a small substation fault diagnosis model based on cooperative game and cloud model was proposed. By analyzing the characteristics and causes of faults,the diagnosis index system was established. Entropy method and expert weighting method were used to obtain index weight,cooperative game method was used to calculate consistency coefficient and combination weight,and the final fitting weight was obtained through normalization. Through the cloud model,the quantitative expression of each index was realized,and the weighted deviation degree was obtained. According to the weighted deviation degree,the final diagnosis result was determined. The experimental results show that the index weight distribution of the established model meets the consistency requirements,and the diagnostic accuracy of fault location and degree is high,which can provide more guarantee for the safe operation of substation.

cooperative game  /  cloud model  /  small substation  /  fault diagnosis model  /  entropy method
Ting KE, Songlin TIAN, Hai ZHOU. Research on Fault Diagnosis Model of Small Substation Based on Cooperative Game and Cloud Model[J]. Electric Drive, 2024 , 54 (2) : 82 -87 . DOI: 10.19457/j.1001-2095.dqcd24783
Year 2024 volume 54 Issue 2
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Article Info
doi: 10.19457/j.1001-2095.dqcd24783
  • Receive Date:2022-11-17
  • Online Date:2026-01-13
  • Published:2024-02-20
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  • Received:2022-11-17
  • Revised:2022-12-02
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    Southern Power Grid Shenzhen Digital Power Grid Research Institute Co.,Ltd.,Shenzhen 518000,Guangdong,China
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https://castjournals.cast.org.cn/joweb/dqcd/EN/10.19457/j.1001-2095.dqcd24783
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表12种不同金属材料的力学参数

Family
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Number of
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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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