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Estimation of Frequency and RoCoF of Non-Stationary Signals in Power Systems: A Fast Convergent Approach

  • Xuanqi Wang
  • , Chaoyu Yang
  • , Wang Rui
  • , Peng Li*
  • *Corresponding author for this work
  • Harbin Institute of Technology Shenzhen
  • Shenzhen Key Laboratory for Advanced Motion Control and Modern Automation Equipment

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper proposes a two-step scheme for estimating the frequency and its rate of change of non-stationary signals in modern power electronics-dominated power systems. In the first step, a finite-time identification scheme based on the Volterra integral operators is designed to track the frequency of the non-stationary signals with fast convergence. A novel augmented framework of signal identification is proposed to eliminate the effects of the harmonics and the measurement noise. In the second step, the estimated frequency is injected into a non-asymptotic numerical differentiator to track its rate of change. It has been proven the proposed estimator possesses fast convergence and robustness against the disturbance. Finally, simulation and experiments are conducted, and the estimation results are compared with known algorithms, demonstrating the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationProceedings of the 5th Conference on Fully Actuated System Theory and Applications, FASTA 2026
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages404-409
Number of pages6
ISBN (Electronic)9798319547323
DOIs
StatePublished - 2026
Externally publishedYes
Event5th Conference on Fully Actuated System Theory and Applications, FASTA 2026 - Qinhuangdao, China
Duration: 22 May 202624 May 2026

Publication series

NameProceedings of the 5th Conference on Fully Actuated System Theory and Applications, FASTA 2026

Conference

Conference5th Conference on Fully Actuated System Theory and Applications, FASTA 2026
Country/TerritoryChina
CityQinhuangdao
Period22/05/2624/05/26

Keywords

  • harmonic
  • linear time-varying system
  • RoCoF estimate

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