Estimation of Non-Stationary Frequency and Fundamental Components for Power Electronics-Dominated Energy Systems

Estimation of fundamental frequency and sinusoidal components is required for the regulation of modern power electronics-dominated power systems. Most of the existing estimation methods are designed for signals with stationary frequency. Hence, their accuracy could significantly degrade in the face of non-stationary frequencies, which is common in low-inertia power systems. In this paper, we propose a novel scheme for real-time estimation of a time-varying power frequency and the resulting fundamental signal. This is a time-domain method for (1) estimating non-stationary frequency and (2) fundamental signal reconstruction. It has the advantage of tracking the fundamental frequency component and treating all harmonics and subharmonics as noise. The method is based on a kernel-based estimation scheme and characterized by high accuracy, fast response, and noise immunity because of the inclusion of non-asymptotic kernel functions. The effectiveness of the proposed estimation scheme for non-stationary frequency tracking and fundamental signal reconstruction is verified by simulation and experimental results, which explore the use of the proposed scheme for frequency extraction of power signals appear in real world low-inertia systems.

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Publication Details

Journal
IEEE Open Journal of Power Electronics
Published
2025-01-01
DOI
https://doi.org/10.1109/ojpel.2025.3583553
Primary Topic
Magnetic Properties and Applications
Type
article
Field-Weighted Citation Impact
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article

Estimation of Non-Stationary Frequency and Fundamental Components for Power Electronics-Dominated Energy Systems

Thomas Parisini, S.Y.R. Hui, Hin Sang Lam, Boli Chen et al.
IEEE Open Journal of Power Electronics
Magnetic Properties and Applications
article

Estimation of Non-Stationary Frequency and Fundamental Components for Power Electronics-Dominated Energy Systems

Thomas Parisini, S.Y.R. Hui, Hin Sang Lam, Boli Chen, Peng Li, Ray Kit Ng
article en

Abstract

Estimation of fundamental frequency and sinusoidal components is required for the regulation of modern power electronics-dominated power systems. Most of the existing estimation methods are designed for signals with stationary frequency. Hence, their accuracy could significantly degrade in the face of non-stationary frequencies, which is common in low-inertia power systems. In this paper, we propose a novel scheme for real-time estimation of a time-varying power frequency and the resulting fundamental signal. This is a time-domain method for (1) estimating non-stationary frequency and (2) fundamental signal reconstruction. It has the advantage of tracking the fundamental frequency component and treating all harmonics and subharmonics as noise. The method is based on a kernel-based estimation scheme and characterized by high accuracy, fast response, and noise immunity because of the inclusion of non-asymptotic kernel functions. The effectiveness of the proposed estimation scheme for non-stationary frequency tracking and fundamental signal reconstruction is verified by simulation and experimental results, which explore the use of the proposed scheme for frequency extraction of power signals appear in real world low-inertia systems.

IEEE Open Journal of Power ElectronicsVol. 6
Hong Kong Polytechnic University (HK), Harbin Institute of Technology (CN), University College London (GB), Imperial College London (GB)
Affordable and clean energy
Openalex Percentile: Top 91%
Magnetic Properties and Applications
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