田宝江, 李岩, 廖晓玉, 杜兴伟, 段文岩. 基于小波变换检测信号奇异性的多厂站信息同步方案[J]. 中国电力. DOI: 10.11930/j.issn.1004-9649.202304074
引用本文: 田宝江, 李岩, 廖晓玉, 杜兴伟, 段文岩. 基于小波变换检测信号奇异性的多厂站信息同步方案[J]. 中国电力. DOI: 10.11930/j.issn.1004-9649.202304074
TIAN Baojiang, LI Yan, LIAO Xiaoyu, DU Xingwei, DUAN Wenyan. Multi-site Information Synchronization Scheme Based on Wavelet Transform to Detect Signal Singularity[J]. Electric Power. DOI: 10.11930/j.issn.1004-9649.202304074
Citation: TIAN Baojiang, LI Yan, LIAO Xiaoyu, DU Xingwei, DUAN Wenyan. Multi-site Information Synchronization Scheme Based on Wavelet Transform to Detect Signal Singularity[J]. Electric Power. DOI: 10.11930/j.issn.1004-9649.202304074

基于小波变换检测信号奇异性的多厂站信息同步方案

Multi-site Information Synchronization Scheme Based on Wavelet Transform to Detect Signal Singularity

  • 摘要: 厂站不同装置的录波文件受同步信号丢失以及通信通道损坏的影响,存在录波文件不同步的问题。然而,电力系统的各种纵联差动保护和距离保护等主保护,以及合并单元、相量测量单元和用于故障分析的录波器等二次设备均对信息同步要求严格。针对这一问题,本文提出了基于突变量检测算法的厂站不同装置录波文件的自同步方案。首先,考虑到传统Mallat小波算法存在高频信号丢失以及边界效应等问题,影响突变点检测的准确性,提出了一种相邻窗互补算法以及数据窗选取优化策略,有效解决了传统小波变换所存在的问题。在此基础上,提出了基于改进Mallat小波算法的厂站信息同步方案。最后,利用现场实际录波数据分析验证了所提改进算法以及信息同步方案的可行性和优势。仿真结果表明,所提的小波改进算法可以有效解决传统小波变换由于二抽取采样过程中引起的高频信号丢失问题以及数据延拓引起的边界效应,将改进算法运用于信息同步方案能够实现厂站内和厂站间各装置录波文件的精确同步。

     

    Abstract: The recording files of different devices in the substation are affected by the loss of synchronization signals and damage of communication channels, resulting in asynchronous recording files. However, various main protections such as longitudinal differential protection and distance protection in the power system, as well as secondary equipment such as merging units, phasor measurement units, and recorders used for fault analysis, have strict requirements for information synchronization. To address this issue, this article proposes a self synchronization scheme for recording files of different devices in substations based on the sudden variable detection algorithm. Firstly, considering the problems of high-frequency signal loss and boundary effects in the traditional Mallat wavelet algorithm, which affect the accuracy of mutation point detection, a complementary adjacent window algorithm and an optimization strategy for data window selection are proposed, effectively solving the problems of traditional wavelet transform. On this basis, a substation information synchronization scheme based on the improved Mallat wavelet algorithm is proposed. Finally, the feasibility and advantages of the proposed improved algorithm and the information synchronization scheme were verified through on-site analysis of the actual recorded wave data. The simulation results show that the proposed wavelet improvement algorithm can effectively solve the problem of high-frequency signal loss caused by the two extraction sampling process and the boundary effect caused by data extension in traditional wavelet transform. Applying the improved algorithm to information synchronization schemes can achieve accurate synchronization of recording files of various devices within and between substations.

     

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