.png){kind=icon}
返回
Improved Smoothing Frequency Shifting and Filtering Algorithm for Harmonic Analysis With Systematic Error Compensation
.png){kind=icon}
PRE
AI
DOI：10.1109/TIE.2019.2892664.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Different from the fast Fourier transform-based method, the frequency shifting and filtering (FSF) algorithm employs only a few simple operations in the time domain for harmonic analysis. However, the systematic error of FSF caused by the imperfect performance of the low-pass filter is ignored. In this paper, a novel smoothing frequency shifting and filtering (SFSF) algorithm is proposed. First, the systematic error of FSF is modeled. Then, the SFSF-based harmonic analysis with systematic error compensation is presented. Finally, the features of the SFSF are discussed. Simulation shows good agreement with the theoretical results. Results of simulations and experiment confirm that the SFSF method can perform harmonic analysis accurately.
Keyword:
Harmonic analysis
power quality
smoothing filtering
systematic error compensation
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
7.2
论文数:
1.8W
被引数:
9.8W
机构
引用论文
.png){kind=icon}
分享收藏分享收藏分享收藏分享收藏
查看更多内容