Chen Yuan-Bin, Cui Hui-Shan, Huang Chia-Wei, Hsu Wei-Tai
Department of Electrical Engineering, Zhaoqing University, Zhaoqing 526060, China.
Entropy (Basel). 2024 Sep 21;26(9):806. doi: 10.3390/e26090806.
The fault diagnosis on a transmission line based on the characteristics of the power spectral entropy is proposed in this article. The data preprocessing for the experimental measurement is also introduced using the EEMD. The EEMD is used to preprocess experimental measurements, which are nonlinear and non-stationary fault signals, to overcome the mode mixing. This study focuses on the fault location detection of transmission lines during faults. The proposed method is adopted for different fault types through simulation under the fault point by collecting current and voltage signals at a distance from the fault point. An analysis and comprehensive evaluation of three-phase measured current and voltage signals at distinct fault locations is conducted. The form and position of the fault are distinguished directly and effectively, thereby significantly improving the transmission line efficiency and accuracy of fault diagnosis.
本文提出了一种基于功率谱熵特征的输电线路故障诊断方法。还介绍了使用EEMD对实验测量数据进行预处理。EEMD用于对非线性、非平稳故障信号的实验测量进行预处理，以克服模态混叠。本研究重点在于故障期间输电线路的故障定位检测。通过在故障点不同距离处采集电流和电压信号，针对不同故障类型在故障点进行仿真，采用所提出的方法。对不同故障位置处的三相测量电流和电压信号进行分析和综合评估。直接有效地区分故障的形式和位置，从而显著提高输电线路故障诊断的效率和准确性。
