An Enhanced Algorithm for Frequency Estimation in Power Systems

Xiaoqing Chen, Manus Henry, Stephen R. Duncan

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

1 Citation (Scopus)

Abstract

Operating frequency is one of the most important parameters in power system. This paper proposes a new algorithm for power system frequency estimation. The algorithm is based on the Hilbert-transform phase-locked loops (HTPLL) and the complex least mean square (CLMS) method. The three-phase voltage data is input to the HTPLLs to obtain an approximate frequency estimation, and a complex voltage vector is formed using an αβ-transform. By then, combining the complex voltage vector and the approximate estimate, the CLMS algorithm provides a refined frequency estimation. Simulation results of the proposed algorithm are presented and the performance of the algorithm is compared to other frequency tracking techniques.

Original languageEnglish
Title of host publication2018 UKACC 12th International Conference on Control, CONTROL 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages140-145
Number of pages6
ISBN (Electronic)9781538628645
DOIs
Publication statusPublished - 31 Oct 2018
Externally publishedYes
EventUKACC 12th International Conference on Control - Sheffield, United Kingdom
Duration: 5 Sep 20187 Sep 2018
Conference number: 12

Publication series

Name2018 UKACC 12th International Conference on Control, CONTROL 2018

Conference

ConferenceUKACC 12th International Conference on Control
Abbreviated titleCONTROL 2018
CountryUnited Kingdom
CitySheffield
Period5/09/187/09/18

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Control and Optimization

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