Partial Discharge Location Algorithm Based on Total Least-Squares With Matérn Kernel in Cable Systems
Partial Discharge Location Algorithm Based on Total Least-Squares With Matérn Kernel in Cable Systems
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DOI：
10.1109/tii.2022.3153835
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发表时间：
2023-03
影响因子：
12.3
通讯作者：
Lu Lu-Lu;Kai Zhou;Guangya Zhu;Xiaomin Yang;Badong Chen
中科院分区：
文献类型：
--
作者：
Lu Lu-Lu;Kai Zhou;Guangya Zhu;Xiaomin Yang;Badong Chen
局部放电定位技术是电力系统电气设备状态监测的有效手段。然而，噪声PD测量可能会显着降低定位算法的性能。本文利用自适应滤波技术研究局部放电定位问题。因此，很少有文献关注基于这种方法的PD定位。提出了一种新的自适应算法--总体最小二乘（TLS）-Matérn核（TLS-MK）。利用Matérn核的优点，TLS模型可以有效地抑制来自PD源的直达波和反射波的噪声。同时，利用TLS-MK算法估计出局部放电定位所需的时间差。此外，TLS-MK算法的收敛性进行了分析。仿真和实验结果表明，该算法可以提高定位精度相比，国家的最先进的方法，对各种局放信号。
Partial discharge (PD) location techniques are a useful tool for condition monitoring of electrical apparatus in power systems. However, the noisy PD measurements may significantly degrade the performance of location algorithms. This article deals with the PD location problem by using adaptive filtering techniques. Heretofore, scarce literature focuses on addressing the PD location based on such method. A novel adaptive algorithm, termed as total least-squares (TLS)-Matérn kernel (TLS-MK), is proposed. Benefiting from the merits of the Matérn kernel, the TLS model can effectively suppress the noise from the direct and reflected waves of the PD source. Meanwhile, the TLS-MK algorithm is used to estimate the time difference, which is used in the PD location. Moreover, the convergence behavior of the TLS-MK algorithm is analyzed. Simulations and experiments show that the proposed algorithm can enhance the location accuracy as compared to state-of-the-art methods for various PD signals.