基于Hankel矩阵奇异值分解的多厂站信息同步方案  

A Multi-site Information Synchronization Scheme Based on Hankel Matrix Singular Value Decomposition

作　　者：李晔[1] 贾娜[1] 何佳伟[2] 李斌[2] 刘晓明 LI Ye;JIA Na;HE Jiawei;LI Bin;LIU Xiaoming(State Key Laboratory of Reliability and Intelligence of Electrical Equipment(Hebei University of Technology),Tianjin 300401,China;Key Laboratory of Smart Grid of Ministry of Education(Tianjin University),Tianjin 300072,China)

机构地区：[1]省部共建电工装备可靠性与智能化国家重点实验室(河北工业大学),天津市300401 [2]智能电网教育部重点实验室(天津大学),天津市300072

出　　处：《电力建设》2025年第4期58-70,共13页Electric Power Construction

基　　金：国家自然科学基金项目(52207088);河北省自然科学基金项目(E2024202184)。

摘　　要：【目的】智能变电站信息同步对电力系统故障智能诊断、保护具有重要意义。卫星时钟同步方法应用较为广泛,然而,卫星时钟同步方法过度依赖于专用通信通道或卫星同步时钟,容易出现同步信号丢失问题,且还需配备若干同步信号传输通道,传输通道的损坏将在主、从时钟之间引起同步误差。【方法】针对这一问题,考虑到基于突变量检测算法的信息同步技术不依赖于时钟和通信通道,且不受同步通信的限制,能有效避免由于通信造成的信息不同步问题,因此提出基于突变量检测算法的多厂站信息同步方案。接着,进一步从脉冲宽度、边界效应以及相移影响方面,详细对比了小波变换、奇异值分解(singular value decomposition,SVD)等典型突变量检测算法的性能。【结果】结果表明,与小波变换相比,Hankel矩阵奇异值分解算法具有脉冲宽度窄、不受边界效应影响、零相移的优势,在快速信号奇异性检测方面优势显著。在此基础上,提出了基于Hankel矩阵奇异值分解算法的信号同步方案。最后,利用大量现场录波数据进行解析验证了所提信息同步方案的可行性和优势。【结论】所提的信息同步方案能够实现厂站内和厂站间各保护装置与录波器间的信息精准同步。[Objective]The synchronization of information in intelligent substations is of great significance for the intelligent diagnosis and protection of power system faults,of which the satellite clock synchronization method is widely used.However,the satellite clock synchronization method is dependent on dedicated communication channels or satellite synchronization clocks,which can easily lead to the loss of synchronization signals.In addition,several synchronization signal transmission channels must be installed,and damage to transmission channels will cause synchronization errors between the master and slave clocks.Information synchronization technology based on the mutation detection algorithm that does not rely on clocks and communication channels,and is not limited by synchronous communication,can effectively avoid the problem of information synchronization caused by communication.[Methods]A multiplant information synchronization scheme based on the mutation detection algorithm is proposed.It compares the performance of typical outlier detection algorithms,such as the wavelet transform and singular value decomposition,in terms of pulse width,boundary effects,and phase-shift effects.[Results]The results show that the Hankel matrix singular value decomposition algorithm has the advantages of a narrow pulse width,no influence of boundary effects,zero phase shift,and has significant advantages in fast signal singularity detection compared with wavelet transform.Accordingly,a signal synchronization scheme based on the Hankel matrix singular value decomposition algorithm was proposed.The feasibility and advantages of the proposed information synchronization scheme were verified through an analysis using a large amount of on-site recorded data.[Conclusions]The results indicate that the proposed information synchronization scheme can achieve the precise synchronization of information between various protection devices and recorders within and between plant stations.

关 键 词：信息同步 突变量算法 小波变换 HANKEL矩阵 奇异值分解(SVD) 

分 类 号：TM73[电气工程—电力系统及自动化]