作者：金涛, 褚福亮

作者单位：福州大学电气工程与自动化学院, 福建 福州 350116

关键词：故障测距;完全集合经验模态分解;行波;波头辨识

摘要：

行波波头的准确辨识可有效提高配电网行波故障测距的准确度,为此,该文提出利用改进的希尔伯特-黄变换(HHT)对行波波头进行准确标定。首先利用自适应噪声的完全集合经验模态分解方法对故障信号进行分解,提取高频固有模态函数分量,再利用希尔伯特变换得到高频固有模态函数分量的瞬时幅值,由瞬时幅值确定行波波头到达测量端的时刻。针对含有多段缆-线混合线路的配网,利用上述方法对初始行波波头到达故障馈线两端的时刻进行标定后,再利用基于接点时差的双端测距原理实现故障测距。针对不同故障时间、故障位置、接地电阻等情况进行仿真实验,结果表明所提方法测距准确度高,具有较高的可行性和实用性。

Identification technology of travelling wave front based on improved HHT and its application in fault location in distribution networks

JIN Tao, CHU Fuliang

College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350116, China

Abstract: As accurate identification of travelling wave front can improve the location of travelling wave faults in distribution networks, this paper has proposed to recognize the travelling wave front via the improved Hilbert-Huang transformation(HHT). First, the complete ensemble empirical mode decomposition with adaptive noise(CEEMDAN) was used to decompose fault signals; second, high-frequency intrinsic mode function components were extracted and their instantaneous amplitudes were obtained by using Hilbert transform to determine the time of the wave front arriving at the measurement end. For the distribution network mixed with multiple overhead cables and lines, the above methods were used to calibrate the time the first travelling wave front arrived at both ends of the fault feeder, and then the fault was detected through two-terminal fault location based on the difference of travelling wave propagation time at each connection point. The proposed method is accurate and applicable as demonstrated by simulation experiments for different fault time and locations and ground resistances.

Keywords: fault location;CEEMDAN;travelling wave;wave front identification

2015, 41(11): 82-87  收稿日期: 2015-04-05;收到修改稿日期: 2015-05-23

基金项目: 欧盟EP7国际科技合作基金(909880);国家自然科学基金(50907011);福建省杰出青年科学基金(2012J06012)

作者简介: 金涛(1976-),男,研究员,博士生导师,研究方向为智能电网技术、在线测量与信号处理、电力系统广域监测和电力系统稳定性分析。

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