基于加窗随机解调架构的电网超谐波信号检测方法  

Detection method of power grid supraharmonic signals based on windowed random demodulation architecture

作　　者：唐求[1] 陈张青 梁林[1] 滕召胜[1] 计志勇 Tang Qiu;Chen Zhangqing;Liang Lin;Teng Zhaosheng;Ji Zhiyong(College of Electrical and Information Engineering,Hunan University,Changsha 410082,China)

机构地区：[1]湖南大学电气与信息工程学院,长沙410082

出　　处：《仪器仪表学报》2024年第2期263-271,共9页Chinese Journal of Scientific Instrument

基　　金：国家自然科学基金(52077067)项目资助。

摘　　要：针对电网超谐波检测采样压力大、数据处理困难等问题,提出一种基于加窗随机解调架构的超谐波信号检测方法。该方法首先利用模拟信息转换技术结合加窗思想,在采样端对超谐波信号进行加窗压缩采样,得到压缩采样后的数据;随后,在重构端采用逐级二分的思想,将残差的一阶微分作为收敛阈值,改进稀疏度自适应匹配追踪(SAMP)算法,实现对采样数据的快速重构。大量的仿真实验和测试结果表明,方法可以在减少90%数据量的情况下实现超谐波信号的频率幅值精确检测,其中频幅值检测的相对误差≤2%,频率检测误差≤3 Hz,为更准确测量超谐波提供了新思路。Aiming at the difficulty of power grid supraharmonic sampling and data processing,this paper proposes a supraharmonic signal detection method based on the windowed stochastic demodulation architecture.Firstly,the method utilizes analog information conversion technology combined with the idea of adding windows to obtain the compressed sampled data,which is realized by compressing and sampling the supraharmonic signal at the sampling end.Subsequently,the step-by-step bisection method is adopted to reconstruct the sampled data quickly,which is realized by setting the first-order differentiation of the residuals as the convergence threshold to improve the sparsity adaptive matching tracking(SAMP)algorithm.Simulation and test results show that the method can detect the frequency amplitude of supraharmonic signals accurately with only 10%of the data.The frequency amplitude detection error is less than 2%,and the frequency detection error is less than 3 Hz.The method provides a new way for the supraharmonic measurement.

关 键 词：超谐波 随机解调 压缩采样 改进重构算法 

分 类 号：TM933.4[电气工程—电力电子与电力传动] TH89[机械工程—仪器科学与技术]