基于压缩感知的电网故障谐波检测技术研究  

Research on Power Fault Harmonic Detection Technology Based on Compressive Sensing

作　　者：张鑫[1] 牟龙华[1] 徐志宇[1] ZHANG Xin;MU Longhua;XU Zhiyu(College of Electronic and Information Engineering,Tongji University,Shanghai 201804,China)

机构地区：[1]同济大学电子与信息工程学院,上海嘉定201804

出　　处：《实验室研究与探索》2022年第11期33-38,56,共7页Research and Exploration In Laboratory

基　　金：国家自然科学基金项目(61973238);同济大学第十四期精品实验项目(0800104305)。

摘　　要：针对电力系统暂态信号检测问题提出一种基于压缩感知理论的电网故障谐波检测方法。根据故障暂态谐波信号特征,利用傅里叶变换证明故障谐波信号在频域符合稀疏条件;设计基于Gram矩阵的优化测量矩阵,提取谐波信号的有效信息;采用稀疏度自适应匹配追踪(SAMP)算法,在信号稀疏度未知的情况下准确重构故障谐波信号;研制可实现故障数据压缩感知故障录波仪。实验与仿真分析表明,该方法能够准确提取出故障信号的完整信息,具有良好的故障暂态谐波信号检测效果,不仅可用于高校继电保护实验教学,还可向电力行业进行推广。The purpose of this paper is to propose a power grid fault harmonic detection method based on compressive sensing. According to the characteristics of fault transient harmonic signal, Fourier transform is used to prove that the fault harmonic signal meets the sparse condition in frequency domain. Then, the optimized measurement matrix based on Gram matrix is designed to extract the effective information of harmonic signal. Moreover, the Sparsity adaptive matching pursuit algorithm can accurately reconstruct the fault harmonic signal when the signal sparsity is unknown. Finally, fault recorder based on the compressive sensing is developed. Simulation and physical experiment analysis show that this method can accurately extract the complete information of fault signal and has good detection effect of fault transient harmonic signal. It can not only be used in relay protection experimental teaching in universities, but also be popularized to the power system.

关 键 词：压缩感知 电网故障谐波检测 GRAM矩阵 故障录波仪 

分 类 号：TM77[电气工程—电力系统及自动化]