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A Fuzzy Comprehensive Judgment Method for Transformer State Based on Game Theory and Improved D-S Evidence Theory
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Wei XIONG1, Long CHEN2, Shunli LÜ2, Zhenyu GUO3, Xin LU1
Electric Drive | 2025, 55(5) : 79 - 88
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Electric Drive | 2025, 55(5): 79-88
A Fuzzy Comprehensive Judgment Method for Transformer State Based on Game Theory and Improved D-S Evidence Theory
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Wei XIONG1, Long CHEN2, Shunli LÜ2, Zhenyu GUO3, Xin LU1
Affiliations
  • 1 Computer Department，North China Electric Power University，Baoding 071003，Hebei，China
  • 2 State Grid Electric Power Research Institute，Nanjing 210003，Jiangsu，China
  • 3 State Grid Anhui Ultra High Voltage Company，Hefei 230041，Anhui，China
Published: 2025-05-20 doi: 10.19457/j.1001-2095.dqcd25484
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To address the complexities of transformer condition assessment indicators and the overreliance on expert judgment in the evaluation process，a novel method for fuzzy comprehensive assessment of transformer condition was introduced，which is based on gaming theory and an improved version of the D-S evidence theory. First，the analytic hierarchy process （AHP） and the Critic method was adopted to determine both the subjective and objective weights of the evaluation indicators. These weights are then combined using game theory，reducing the dependence on expert opinions in traditional weight determination methods. Second，instead of traditional membership functions，cloud models was employed to preserve the inherent uncertainty in fuzzy assessments. Finally，membership information at the project level was fused by using improved D-S evidence，eliminating paradoxical results that can occur when combining high-conflict evidence. Through the results of case studies，the method effectively assesses the transition probabilities of various transformer states.

power transformer  /  multilevel fuzzy comprehensive judgment  /  Critic method  /  game theory  /  improved D-S evidence theory
Wei XIONG, Long CHEN, Shunli LÜ, Zhenyu GUO, Xin LU. A Fuzzy Comprehensive Judgment Method for Transformer State Based on Game Theory and Improved D-S Evidence Theory[J]. Electric Drive, 2025 , 55 (5) : 79 -88 . DOI: 10.19457/j.1001-2095.dqcd25484
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Year 2025 volume 55 Issue 5
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Article Info
doi: 10.19457/j.1001-2095.dqcd25484
  • Receive Date：2023-11-13
  • Online Date：2025-11-05
  • Published：2025-05-20
Article Data
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History
  • Received：2023-11-13
  • Revised：2023-12-31
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Affiliations
    1 Computer Department，North China Electric Power University，Baoding 071003，Hebei，China
    2 State Grid Electric Power Research Institute，Nanjing 210003，Jiangsu，China
    3 State Grid Anhui Ultra High Voltage Company，Hefei 230041，Anhui，China
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