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 <italic>stationary</italic> frequency. Hence, their accuracy could signi...

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Main Authors: Peng Li, Hin Sang Lam, Boli Chen, Raymond Wai M. Ng, Thomas Parisini, S. Y. Hui
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Open Journal of Power Electronics
Subjects:
Online Access:https://ieeexplore.ieee.org/document/11052682/
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author Peng Li
Hin Sang Lam
Boli Chen
Raymond Wai M. Ng
Thomas Parisini
S. Y. Hui
author_facet Peng Li
Hin Sang Lam
Boli Chen
Raymond Wai M. Ng
Thomas Parisini
S. Y. Hui
author_sort Peng Li
collection DOAJ
description 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 <italic>stationary</italic> 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 <italic>non-stationary</italic> 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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publishDate 2025-01-01
publisher IEEE
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series IEEE Open Journal of Power Electronics
spelling doaj-art-e6ffdcdb6a7c427da8c4366e7606c5692025-08-20T03:12:20ZengIEEEIEEE Open Journal of Power Electronics2644-13142025-01-0161202121410.1109/OJPEL.2025.358355311052682Estimation of Non-Stationary Frequency and Fundamental Components for Power Electronics-Dominated Energy SystemsPeng Li0https://orcid.org/0000-0002-8217-1326Hin Sang Lam1https://orcid.org/0000-0002-0315-9389Boli Chen2https://orcid.org/0000-0002-1553-1336Raymond Wai M. Ng3Thomas Parisini4https://orcid.org/0000-0001-5396-9665S. Y. Hui5https://orcid.org/0000-0002-5992-6559School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen, ChinaDepartment of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Kowloon, Hong KongDepartment of Electronic and Electrical Engineering, University College London, London, U.K.Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hong KongDepartment of Electrical and Electronic Engineering, Imperial College London, London, U.K.Department of Electrical and Electronic Engineering, Imperial College London, London, U.K.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 <italic>stationary</italic> 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 <italic>non-stationary</italic> 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.https://ieeexplore.ieee.org/document/11052682/Adaptive and nonlinear estimationfrequency detectionphase-locked looppower component extraction
spellingShingle Peng Li
Hin Sang Lam
Boli Chen
Raymond Wai M. Ng
Thomas Parisini
S. Y. Hui
Estimation of Non-Stationary Frequency and Fundamental Components for Power Electronics-Dominated Energy Systems
IEEE Open Journal of Power Electronics
Adaptive and nonlinear estimation
frequency detection
phase-locked loop
power component extraction
title Estimation of Non-Stationary Frequency and Fundamental Components for Power Electronics-Dominated Energy Systems
title_full Estimation of Non-Stationary Frequency and Fundamental Components for Power Electronics-Dominated Energy Systems
title_fullStr Estimation of Non-Stationary Frequency and Fundamental Components for Power Electronics-Dominated Energy Systems
title_full_unstemmed Estimation of Non-Stationary Frequency and Fundamental Components for Power Electronics-Dominated Energy Systems
title_short Estimation of Non-Stationary Frequency and Fundamental Components for Power Electronics-Dominated Energy Systems
title_sort estimation of non stationary frequency and fundamental components for power electronics dominated energy systems
topic Adaptive and nonlinear estimation
frequency detection
phase-locked loop
power component extraction
url https://ieeexplore.ieee.org/document/11052682/
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AT bolichen estimationofnonstationaryfrequencyandfundamentalcomponentsforpowerelectronicsdominatedenergysystems
AT raymondwaimng estimationofnonstationaryfrequencyandfundamentalcomponentsforpowerelectronicsdominatedenergysystems
AT thomasparisini estimationofnonstationaryfrequencyandfundamentalcomponentsforpowerelectronicsdominatedenergysystems
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