A Kaiser Window-based Dynamic Phasor Estimation Algorithm for Power Oscillation

When the power oscillation occurs, its dynamic characteristics will bring an adverse influence of the discrete Fourier transform (DFT), which reduces the estimation accuracy of phasor measurement units (PMUs). Accordingly, based on the superior performance of the Kaiser window in terms of eliminatin...

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Bibliographic Details
Published in2020 Asia Energy and Electrical Engineering Symposium (AEEES) pp. 365 - 370
Main Authors Li, Xiaopeng, Feng, Shilin, Duan, Xiangxi, Xiong, Siyu, Liao, Kai, Fu, Ling
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2020
Subjects
Discrete Fourier transform (DFT)
Discrete Fourier transforms
dynamic phasor
Electrical engineering
Estimation
Heuristic algorithms
kaiser window
least squares
Mathematical models
power oscillation
Simulation
Taylor series
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Summary:When the power oscillation occurs, its dynamic characteristics will bring an adverse influence of the discrete Fourier transform (DFT), which reduces the estimation accuracy of phasor measurement units (PMUs). Accordingly, based on the superior performance of the Kaiser window in terms of eliminating the spectrum leakage of DFT, a modified dynamic phasor estimation algorithm is proposed to improve the accuracy of phasor estimations under the power oscillation. On one hand, the Taylor series is employed to express the dynamic characteristic of power oscillation signals. On the other hand, the Least squares method is used to construct the equation to solve the Taylor derivatives in the model. Various simulation and RTDS generated test results show that the proposed algorithm holds a superior dynamic estimation accuracy, especially under power oscillation conditions.
DOI:10.1109/AEEES48850.2020.9121577