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A Fast Power Grid Frequency Estimation Approach Using Frequency-Shift Filtering

delete2019-05-01
delete19
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OA
AI
李建闽 (Jianmin Li)
Z
Zhaosheng Teng
Y
Yajun Wang
S
Shutang You
Y
Yilu Liu
姚文轩 封面图
姚文轩 (Wenxuan Yao) *
DOI:10.1109/TPWRS.2019.2892599delete
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摘要

摘要

En 中文
In this letter, a fast frequency estimation approach is proposed using frequency-shift filtering. The original sampled signal is first frequency-shifted to 0 Hz nearby via multiplying a reference signal. Then, a convolution average filter is applied on the shifted signal to eliminate the spectral interference caused by asynchronous sampling. Finally, the frequency of power system can be estimated using the phase difference between arbitrary two points of the filtered signal. The approach has major advantages of low computational burden and strong anti-noise performance, which makes it appropriate for high precision and reporting rate frequency measurement in embedded systems. Comprehensive simulations are conducted to validate the accuracy and efficiency of the proposed approach.
Keyword:
Convolution average filter
frequency estimation
frequency-shift filtering
high reporting rate
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期刊

IEEE Transactions on Power Systems 封面图
IEEE Transactions on Power Systems
IF:
7.2
论文数:
1.1W
被引数:
5.0W

机构

University of Tennessee System 封面图
University of Tennessee System
学者数:
2.9W
论文数: 2.6W
被引数: 115
H
hunan university
学者数:
4.5W
论文数: 3.3W
被引数: 70
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