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Noise Analysis on Frequency Shifting and Filtering Algorithm-Based Phasor Estimator

delete2020-09-01
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OA
AI
J
Junhao Zhang
L
Lu Tang
A
Alessandro Mingotti
L
Lorenzo Peretto
温和 cover
温和 (He Wen) *
C
Chengcheng Li
DOI:10.1109/TIM.2020.2972235delete
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Abstract

Abstract

En 中文
The estimations of amplitude and phase are of great importance in the synchronous phasor measurement for power systems. In addition to the off-nominal frequency, the amplitude and phase estimations accuracy level of the power system signal is affected by the inevitable noise. In this article, the effect of white noise on amplitude and phase estimations provided by DFT-based frequency shifting and filtering algorithm (FSF) is analyzed. With the help of the equivalent weighting filter's merits, i.e., equivalent noise bandwidth and overlap correlation, the FSF-based amplitude and phase variance expressions are derived theoretically by considering the overlap of two processed samples. The effectiveness of the proposed amplitude and phase variance expressions are verified through computer simulations.
Keywords:
Power harmonic filters
Frequency estimation
Estimation
White noise
Signal to noise ratio
Cramer-Rao lower bound (CRLB)
filtering
frequency shifting
signal to noise ratio
variance analysis
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Journal

IEEE Transactions on Instrumentation and Measurement cover
IEEE Transactions on Instrumentation and Measurement
IF:
5.9
Papers:
1.9W
Citations:
5.8W

Organization

H
hunan university
Scholars:
4.5W
Papers: 3.3W
Citations: 70