
Investigation of key factors of Blackman-Harris window and interpolation algorithm in TTU frequency estimation module
Author(s) -
Yonggao Ge,
Ning Wang,
Zujun Zhu
Publication year - 2022
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/983/1/012029
Subject(s) - algorithm , quantization (signal processing) , interpolation (computer graphics) , mathematics , frequency deviation , computer science , electronic engineering , telecommunications , automatic frequency control , engineering , frame (networking)
In order to provide a reference for the selection of related parameters when the Blackman-Harris window and interpolation algorithm is applied to the frequency estimation for voltage and current signals in transformer terminal unit (TTU), the principle of the algorithm is introduced, the implementation is preliminarily discussed, and the influence of signal parameters and measurement parameters on the frequency error is investigated based on the numerically generated voltage signals. The results reveal that the error is proportional to the frequency deviation of the signal. The frequency error decreases exponentially with signal-to-noise ratio (SNR) and sampling duration. Total harmonic distortion, sampling frequency and analog-to-digital converter (ADC) quantization bit have almost no impact on frequency error.