第45卷第2期2024年2月仪器仪表学报ChineseJournalofScientificInstrumentVol.45No.2Feb.2024DOI:10.19650/j.cnki.cjsi.J2312163收稿日期:2023-11-16ReceivedDate:2023-11-16∗基金项目:国家自然科学基金(52077067)项目资助基于加窗随机解调架构的电网超谐波信号检测方法∗唐求,陈张青,梁林,滕召胜,计志勇(湖南大学电气与信息工程学院长沙410082)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≤3Hz,为更准确测量超谐波提供了新思路。关键词:超谐波;随机解调;压缩采样;改进重构算法中图分类号:TM933.4TH89文献标识码:A国家标准学科分类代码:470.40DetectionmethodofpowergridsupraharmonicsignalsbasedonwindowedrandomdemodulationarchitectureTangQiu,ChenZhangqing,LiangLin,TengZhaosheng,JiZhiyong(CollegeofElectricalandInformationEngineering,HunanUniversity,Changsha410082,China)Abstract:Aimingatthedifficultyofpowergridsupraharmonicsamplinganddataprocessing,thispaperproposesasupraharmonicsignaldetectionmethodbasedonthewindowedstochasticdemodulationarchitecture.Firstly,themethodutilizesanaloginformationconversiontechnologycombinedwiththeideaofaddingwindowstoobtainthecompressedsampleddata,whichisrealizedbycompressingandsamplingthesupraharmonicsignalatthesamplingend.Subsequently,thestep-by-stepbisectionmethodisadoptedtoreconstructthesampleddataquickly,whichisrealizedbysettingthefirst-orderdifferentiationoftheresidualsastheconvergencethresholdtoimprovethesparsityadaptivematchingtracking(SAMP)algorithm.Simulationandtestresultsshowthatthemethodcandetectthefrequencyamplitudeofsupraharmonicsignalsaccuratelywithonly10%ofthedata.Thefrequencyamplitudedetectionerrorislessthan2%,andthefrequencydetectionerrorislessthan3Hz...
