Widely linear least mean kurtosis‐based frequency estimation of three‐phase power system
Author:
Affiliation:
1. School of Electrical EngineeringSouthwest Jiaotong UniversityChengdu610031People's Republic of China
2. School of Information Science and EngineeringSoutheast UniversityNanjing210096People's Republic of China
Funder
National Natural Science Foundation of China
Sichuan Province Science and Technology Support Program
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-gtd.2018.6498
Reference30 articles.
1. Adaptive Frequency Estimation in Smart Grid Applications: Exploiting Noncircularity and Widely Linear Adaptive Estimators
2. Frequency tracking in power networks in the presence of harmonics
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4. Real‐time determination of power system frequency;Lobos T.;IEEE Trans. Instrum. Meas.,1997
5. A Practical, Precise Method for Frequency Tracking and Phasor Estimation
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1. Low Cost and Precise Frequency Estimation in Unbalanced Three Phase Power Systems;IEEE Transactions on Power Delivery;2023-04
2. Performance analysis of the augmented complex-valued least mean kurtosis algorithm;Signal Processing;2023-02
3. Adaptive Frequency-Domain Normalized Implementations of Widely-Linear Complex-Valued Filter;IEEE Transactions on Signal Processing;2021
4. Widely Linear Quaternion-Valued Least-Mean Kurtosis Algorithm;IEEE Transactions on Signal Processing;2020
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