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Extended Morlet Wavelet-Based FIR Phasor Estimation Using Fake Samples

delete2024-02-01
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PRE
AI
X
Xin Liu *
K
Kevin I‐Kai Wang
N
Nair, Nirmal Kumar C.
DOI:10.1109/TII.2023.3276772delete
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摘要

摘要

En 中文
The paper proposes an extended Morlet wavelet-based FIR (et-MW-FIR) which can be piled on top of enhanced MW-FIR (e-MW-FIR) to further improve the overall estimation accuracy. Moreover, by integrating the extended algorithm block, the wavelet parameter selection range is enlarged. In this case, as one application of the proposed method, the paper also introduces a fully compliant P-class estimator by varying the parameters rather than using a threshold parameter which may lead to non-convergence in practice. The new estimators with two sets of parameters are compared with the conventional and enhanced estimators under IEC/IEEE 60255-118-1. Additionally, some extensive simulations, field data, and hardware implementation are also conducted to evaluate the performance of the proposed block and estimator.
Keyword:
phasor measurement unit
PMU
phasor estimation
frequency estimation
Morlet wavelets
finite-impulse response (FIR) filter

期刊

IEEE Transactions on Industrial Informatics 封面图
IEEE Transactions on Industrial Informatics
IF:
9.9
论文数:
8.6K
被引数:
6.0W

机构

U
University of Auckland
学者数:
2.3W
论文数: 2.4W
被引数: 3.3W
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