Optimal Selection on Spatial Spectrum Estimation Algorithms for UHF Direction Finding of Partial Discharge in Substation

被引：0
|
作者：
Liu Q. [1 ,2 ]
Chang D. [1 ]
Deng J. [1 ]
机构：
[1] State Key Laboratory of Electrical Insulation and Power Equipment, Xi'an Jiaotong University, Xi'an
来源：
Diangong Jishu Xuebao/Transactions of China Electrotechnical Society | 2020年 / 35卷 / 16期
关键词：
Direction finding; Partial discharge; Spatial spectrum estimation; Substation; Ultra-high-frequency;
D O I：
10.19595/j.cnki.1000-6753.tces.190821
中图分类号：
学科分类号：
摘要：
The partial discharge (PD) direction finding system based on ultra-high frequency array has been tried to apply in air-insulted substation nowadays. However, the size of antenna array is too large that is not convenient for onsite application. To reduce the array size, high-resolution direction finding and focusing algorithm are used in the direction finding system. In the spatial spectrum estimation method, the PD signal is focused into narrowband signal by broadband focusing algorithm, and then the direction of arrival is obtained by narrowband direction finding algorithm. There are many kinds of broadband focusing and narrowband direction finding algorithms, and the direction finding performance of different algorithms is affected by signal-to-noise ratio, incident direction and so on. Therefore, it is necessary to study the selection of algorithms suitable for PD direction finding in substation station domain. In this paper, a PD simulation system is established. By changing the number of array elements, signal-to-noise ratio and incident azimuth angle, the performance of broadband focusing algorithms such as two-side correlation transformation (TCT), rotating signal subspace and signal subspace transform is compared; in addition, the direction finding accuracy of narrowband direction finding algorithms is compared, such as multiple signal classification, root multiple signal classification (Root-MUSIC), and signal parameter estimation via rotational invariance techniques and weighted subspace fitting. The simulation results show that TCT algorithm has the fastest operation speed, the widest effective direction finding range and the highest direction finding accuracy when the signal-to-noise ratio is high. Root-MUSIC algorithm has the smallest direction finding error when the number of array elements is small, and has strong ability of noise suppression and short calculation time. In experiments, when TCT and root MUSIC algorithm are used in PD direction finding system, the deviation and standard deviation of azimuth direction finding are less than 3.2° and 2.9° respectively, which have better direction finding performance. © 2020, Electrical Technology Press Co. Ltd. All right reserved.
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页码：3551 / 3560
页数：9
相关论文
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