期刊文献+

基于时域准同步的谐波和间谐波检测算法 被引量:28

Harmonic and interharmonic detection algorithm based on time-domain quasi-synchronous technique
在线阅读 下载PDF
导出
摘要 傅里叶分析法因其简单方便成为常用的谐波、间谐波检测方法,但该方法在非同步采样时存在频谱泄露问题,由此产生的谐波和间谐波的相互干扰会严重降低测量准确性。通过采用时域准同步方法减少频谱泄漏,并采用梳状滤波器分离谐波和间谐波,可以有效提高谐波和间谐波的检测精度。在电能质量测量实时性要求高的场合,为了避免梳状滤波器导致的长时延,可以通过引入时域平均法在时延较小情况下获得相当的间谐波测量精度。给出该方法在电力谐波、间谐波测量方面应用的算法流程,并分别在MATLAB和谐波分析仪上实现谐波、间谐波分析算例。 Generally,Fourier analysis is used to detect harmonic and interharmonic because of its simplicity and convenience. However, spectrum leakage problem exists in this method when the sampling is asynchronous, which leads to the interaction of harmonic and interharmonic and decreases the detection accuracy seriously. Time domain quasisynchronous sampling technique is applied to reduce the spectrum leakage, comb filter is used to separate harmonic and interharmonic, and the detection precision can be improved effectively. In the situation where highly real-time power quality detection is required, the combination of comb filter and time-domain averaging is proposed to avoid the long time delay caused by comb filter; and using this method the same interharmonic detection aceuracy ean be achieved with smaller time delay. The flowchart of this algorithm in the application of power harmonic and interharmonic detection is provided in this paper. Meanwhile, harmonic and interharmonic analysis examples are realized on MATLAB platform and a harmonic analyzer.
出处 《仪器仪表学报》 EI CAS CSCD 北大核心 2013年第2期275-280,共6页 Chinese Journal of Scientific Instrument
关键词 谐波 间谐波 准同步 梳状滤波器 时域平均 harmonic interharmonic quasi-synchronous comb filter time-domain averaging
作者简介 王彭,2012年于上海交通大学获得学士学位,现为上海交通大学硕士研究生,主要研究方向为信号处理,电力系统谐波分析,振动控制。E—mail:sjtuwangpeng@sjtu.edu.cn黄震字(通讯作者),1997年于上海交通大学获得学士学位,2000年于上海交通大学获得硕士学位,2007年于英国南安普顿大学获得博士学位,现为上海交通大学仪器系副教授,主要研究方向为信号处理,振动控制和微型机电控制系统。E—mail:bighuang@sjtu.edu.cn
  • 相关文献

参考文献15

  • 1LIN H C. Intelligent neural network-bascd fast power system harmonic detection[J].IEEE Transactions on Industrial Electronics,2007,(01):43-52.
  • 2边海龙,陈光.基于小波和神经网络的时变谐波信号的检测[J].电子测量与仪器学报,2008,22(1):1-4. 被引量:11
  • 3陈亦文,邱公伟,魏勇.基于小波包分解的时变谐波分析[J].仪器仪表学报,2005,26(5):457-459. 被引量:14
  • 4COSTA F F,CARDOSO A J M. Harmonic analysis based on Kalman filtering and Prony's method[A].Setubal,PORTUGAL,2007.
  • 5QIAN H,ZHAO R X,CHEN T. Interharmonics analysis based on interpolating windowed FFT algorithm[J].IEEE Transactions on Power Delivery,2007,(02):1064-1069.doi:10.1109/TPWRD.2007.893187.
  • 6庞浩,李东霞,俎云霄,王赞基.应用FFT进行电力系统谐波分析的改进算法[J].中国电机工程学报,2003,23(6):50-54. 被引量:231
  • 7WU J,ZHAO W. A simple interpolation algorithm for measuring multi-frequency signal based on DFT[J].Elsevier Measurement,2009,(02):332-327.
  • 8高云鹏,滕召胜,卿柏元.基于Kaiser窗双谱线插值FFT的谐波分析方法[J].仪器仪表学报,2010,31(2):287-292. 被引量:64
  • 9ZHOU F,ZHAO C,HUANG Z. Harmonic and interharmonic estimation using time-domain quasi-synchronous sampling technique and comb FIR filter[J].International Review of Electrical Engineering,2011,(06):2773-2784.
  • 10ZHOUR F,HUANG Z,ZHAO X. Time-domain quasi-synchronous sampling algorithm for harmonic analysis based on Newton' s interpolation[J].IEEE Transactions on Instrumentation and Measurement (TIM),2011,(08):2804-2812.

二级参考文献49

共引文献319

同被引文献273

引证文献28

二级引证文献194

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部