基于切比雪夫窗的配电电缆缺陷诊断优化研究
作者:
作者单位:

(1.上海电力大学电气工程学院,上海 200090;2.国网福建省电力有限公司莆田供电公司,福建 莆田 351100)

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通讯作者:

张周胜(1969—),男,博士,教授,博士生导师,主要从事电力设备电气绝缘在线监测与故障诊断等研究;E?mail:shengzz@shiep.edu.cn

中图分类号:

TM755

基金项目:

上海市科学技术委员会项目(20020500800,21DZ2205000)


Research on optimization of distribution cable defect diagnosis based on Chebyshev window
Author:
Affiliation:

(1.School of Electric Power Engineering, Shanghai Electric Power University, Shanghai 200090, China;2.Putian Power Supply Company, State Grid Fujian Electric Power Co., Ltd., Putian 351100, China)

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    摘要:

    电缆输入阻抗谱加窗傅里叶变换后主瓣宽度过大,导致电缆末端附近缺陷定位“死区”过大。为解决该问题,提出一种基于切比雪夫窗的配电电缆缺陷定位改进方法。首先,建立电缆分布参数模型,结合电缆输入阻抗谱阐述局部缺陷定位原理;然后,通过海明窗、布莱克曼窗和切比雪夫窗对电缆输入阻抗谱加窗进行仿真研究,对比分析各窗函数性能;最后,由电缆阻抗相位谱构造诊断函数并结合切比雪夫窗实现缺陷定位与缺陷类型识别。对长度为100 m的10 kV XLPE电缆进行仿真研究,所得结果表明:与直接对电缆阻抗谱加切比雪夫窗处理相比,所提方法不仅能将距电缆首端2 m处缺陷定位相对误差由0.467%减小至0.029%,而且定位“死区”从距电缆末端6 m减小至3 m,同时能够根据缺陷处波形特征识别不同缺陷类型。

    Abstract:

    Due to the excessive width of the main lobe after windowed Fourier transform of the cable input impedance spectrum, there is an excessive ‘dead zone’ in defect positioning near the cable end. To address this issue, an improved method for distribution cable defect positioning based on Chebyshev window is proposed in this paper. Firstly, a distributed parameter model of the cable is established, and the principle of local defect positioning is elaborated based on the cable input impedance spectrum. Subsequently, simulation studies are conducted on the cable input impedance spectrum using Hamming window, Blackman window, and Chebyshev window, comparing and analyzing the effectiveness of each window function. Finally, a diagnostic function is constructed from the cable impedance phase spectrum and combined with the Chebyshev window to achieve defect positioning and defect type identification. Simulation study on a 10 kV XLPE cable, 100 m in length, demonstrates that compared with the direct treatment of cable impedance spectrum with Chebyshev window, the proposed method not only significantly improves defect positioning accuracy: reducing the relative error of defect positioning from 0.467% to 0.029% at 2 m from the cable’s first end, but also shrinking the positioning ‘dead zone’ from 6 m to 3 m away from the cable’s end. Moreover, the proposed method can identify different types of defects according to the waveform characteristics.

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李松峰,谢书凝,张 彬,等.基于切比雪夫窗的配电电缆缺陷诊断优化研究[J].电力科学与技术学报,2024,(3):116-124.
LI Songfeng, XIE Shuning, ZHANG Bin, et al. Research on optimization of distribution cable defect diagnosis based on Chebyshev window[J]. Journal of Electric Power Science and Technology,2024,(3):116-124.

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  • 在线发布日期: 2024-07-25
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