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Research on Fault Diagnosis of Transmission Line Based on Multi-source Information Fusion
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Yaming GE1, Chenbin ZHOU2, Yihua MENG2, Jiaoxiao SHEN2, Haiou CAO1, Xuchao REN1
Electric Drive | 2025, 55(4) : 72 - 81
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Electric Drive | 2025, 55(4): 72-81
Research on Fault Diagnosis of Transmission Line Based on Multi-source Information Fusion
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Yaming GE1, Chenbin ZHOU2, Yihua MENG2, Jiaoxiao SHEN2, Haiou CAO1, Xuchao REN1
Affiliations
  • 1 State Grid Jiangsu Electric Power Co.,Ltd.,Nanjing 210000,Jiangsu,China
  • 2 Suzhou Power Supply Company of State Grid Jiangsu Electric Power Co.,Ltd.,Suzhou 215000,Jiangsu,China
Published: 2025-04-20 doi: 10.19457/j.1001-2095.dqcd25972
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With the accelerated construction of new power systems,the scale and complexity of transmission systems are constantly increasing. Therefore,it is urgent to study transmission line fault diagnosis algorithms that utilize multi-source data as driving sources and meet requirements for accuracy and low time consumption. A multi-source information fusion transmission line fault diagnosis method based on the improved NRBO-XGBoost algorithm was proposed. Firstly,by analyzing the measured electrical quantities and action switch quantities on both sides of the line protection,the correlation features of time/frequency domain differential current and differential voltage,transient polarity,and action signals under internal and external fault scenarios were decoupled. Then,the decoupled multi-source fault feature vectors were input into the XGBoost serial learning algorithm,and the NRBO algorithm was introduced to globally optimize the training parameters of XGBoost. Finally,based on the identification output of the improved NRBO-XGBoost algorithm,a complete transmission line fault diagnosis model for internal and external faults was obtained. An IEEE-30 standard node transmission system model was constructed using PSCAD/EMTDC. Through testing in four typical scenarios,the results demonstrated that the proposed multi-source information fusion algorithm achieves a line fault diagnosis accuracy of 99%,meeting the required threshold. Additionally,it exhibits certain advantages in terms of diagnosis speed compared to traditional intelligent algorithms.

transmission line  /  fault diagnosis  /  XGBoost algorithm  /  NRBO algorithm  /  multi-source information fusion
Yaming GE, Chenbin ZHOU, Yihua MENG, Jiaoxiao SHEN, Haiou CAO, Xuchao REN. Research on Fault Diagnosis of Transmission Line Based on Multi-source Information Fusion[J]. Electric Drive, 2025 , 55 (4) : 72 -81 . DOI: 10.19457/j.1001-2095.dqcd25972
Year 2025 volume 55 Issue 4
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Article Info
doi: 10.19457/j.1001-2095.dqcd25972
  • Receive Date:2024-06-03
  • Online Date:2025-10-30
  • Published:2025-04-20
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  • Received:2024-06-03
  • Revised:2024-07-17
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    1 State Grid Jiangsu Electric Power Co.,Ltd.,Nanjing 210000,Jiangsu,China
    2 Suzhou Power Supply Company of State Grid Jiangsu Electric Power Co.,Ltd.,Suzhou 215000,Jiangsu,China
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