Bayesian adaptive fault diagnosis of transmission lines based on Kalman filtering

Jundong Qu; Dantian Zhong; Jinhe Tian; Yijin Huang; Yuchi Sun; Jiangyuan Zhao

doi:10.1117/12.3024367

13 May 2024 Bayesian adaptive fault diagnosis of transmission lines based on Kalman filtering

Jundong Qu, Dantian Zhong, Jinhe Tian, Yijin Huang, Yuchi Sun, Jiangyuan Zhao

Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 1315976 (2024) https://doi.org/10.1117/12.3024367
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China

Abstract

With the continuous expansion of the scale of China’s power grid, the length of transmission lines is increasing day by day, and the operation status of transmission lines is directly related to the safety and efficiency of the entire power grid operation. This paper proposes a Bayesian adaptive fault fusion algorithm for transmission lines based on Kalman filtering. Firstly, Kalman filtering is used to fuse the multi-source monitoring data of transmission lines, and the Bayesian estimation method is used to diagnose the fault probability, so as to improve the fusion accuracy of multi-source data, realize the comprehensive judgment of transmission line operation, and improve the safe and stable operation level of transmission lines.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jundong Qu, Dantian Zhong, Jinhe Tian, Yijin Huang, Yuchi Sun, and Jiangyuan Zhao "Bayesian adaptive fault diagnosis of transmission lines based on Kalman filtering", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 1315976 (13 May 2024); https://doi.org/10.1117/12.3024367

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