基于小波变换检测信号奇异性的多厂站信息同步方案

doi:10.11930/j.issn.1004-9649.202304074

中国电力 ›› 2024, Vol. 57 ›› Issue (12): 188-197.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

田宝江¹(), 李岩¹, 廖晓玉¹, 杜兴伟¹, 段文岩²

1. 国网河南省电力公司，河南郑州　450000
2. 国网河南省电力公司电力科学研究院，河南郑州　450000

收稿日期:2023-04-20 接受日期:2024-03-20 出版日期:2024-12-28 发布日期:2024-12-27
作者简介:田宝江（1982—），男，通信作者，硕士，高级工程师，从事继电保护运行分析与研究，E-mail：3523371575@qq.com
基金资助:
国家自然科学基金青年基金资助项目（高比例新能源接入的交直流混合配电网保护新原理研究，52207088）；国网河南省电力公司电力科学研究院科研项目（基于多厂站信息融合的电网故障智能分析与诊断技术研究及应用，52170222000C）。

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

Baojiang TIAN¹(), Yan LI¹, Xiaoyu LIAO¹, Xingwei DU¹, Wenyan DUAN²

1. State Grid Henan Electric Power Company, Zhengzhou 450000, China
2. State Grid Henan Electric Power Company Electric Power Science Research Institute, Zhengzhou 450000, China

Received:2023-04-20 Accepted:2024-03-20 Online:2024-12-28 Published:2024-12-27
Supported by:
This work is supported by the National Natural Science Foundation of China Youth Fund (Research on New Principles of Protection for AC/DC Hybrid Distribution Networks with High Ratio of New Energy Access, No.52207088), Research Project of State Grid Henan Electric Power Company Electric Power Science Research Institute (Research and Application of Intelligent Analysis and Diagnosis Technology for Power Grid Faults Based on Multi station Information Fusion, No.52170222000C)

摘要/Abstract

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，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。然后，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。

关键词: 信息同步, 突变量算法, 小波变换, 相邻窗互补算法, 数据窗选取优化策略

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.

Key words: information synchronization, sudden variable algorithm, wavelet transform, adjacent window complementary algorithm, data window selection optimization strategy

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, 2024, 57(12): 188-197.

Baojiang TIAN, Yan LI, Xiaoyu LIAO, Xingwei DU, Wenyan DUAN. Multi-site Information Synchronization Scheme Based on Wavelet Transform to Detect Signal Singularity[J]. Electric Power, 2024, 57(12): 188-197.

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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202304074

https://www.electricpower.com.cn/CN/Y2024/V57/I12/188

图/表 10

图 1 Mallat小波算法原理示意

Fig.1 Schematic diagram of Mallat wavelet algorithm

图 2 Mallat小波变换存在问题示意

Fig.2 Problem of Mallat wavelet transform

图 3 小波变换的相邻窗互补算法

Fig.3 Adjacent window complementary algorithm for wavelet transform

图 4 小波算法数据窗选取优化策略

Fig.4 Optimization strategy for data window selection of wavelet algorithm

图 5 传统小波变换的性能改进

Fig.5 Performance improvement of traditional wavelet transform

图 6 基于信号奇异性检测的多厂站信息精确同步方案

Fig.6 Accurate synchronization scheme of multi-site information based on signal singularity detection

图 7 改进小波变换算法性能优势

Fig.7 Performance advantages of improved wavelet transform algorithms

图 8 厂站内信息同步方案算例验证

Fig.8 Example verification of information synchronization scheme in substation

图 9 厂站间信息同步方案算例验证

Fig.9 Example verification of information synchronization scheme between substations

图 10 多厂站间信息同步方案算例验证

Fig.10 Example verification of information synchronization scheme between multiple substations

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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

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基于小波变换检测信号奇异性的多厂站信息同步方案

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