An Enhanced Algorithm for Frequency Estimation in Power Systems

Xiaoqing Chen; Manus Henry; Stephen R. Duncan

doi:10.1109/CONTROL.2018.8516785

An Enhanced Algorithm for Frequency Estimation in Power Systems

Xiaoqing Chen, Manus Henry, Stephen R. Duncan

University of Oxford

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

3 Citations (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 language	English
Title of host publication	2018 UKACC 12th International Conference on Control, CONTROL 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	140-145
Number of pages	6
ISBN (Electronic)	9781538628645
DOIs	https://doi.org/10.1109/CONTROL.2018.8516785
Publication status	Published - 31 Oct 2018
Externally published	Yes
Event	UKACC 12th International Conference on Control 2018 - Sheffield, United Kingdom Duration: 5 Sept 2018 → 7 Sept 2018 Conference number: 12 https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8491726

Publication series

Name	2018 UKACC 12th International Conference on Control, CONTROL 2018

Conference

Conference	UKACC 12th International Conference on Control 2018
Abbreviated title	CONTROL 2018
Country/Territory	United Kingdom
City	Sheffield
Period	5/09/18 → 7/09/18
Internet address	https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8491726

ASJC Scopus subject areas

Control and Systems Engineering
Control and Optimization

Access to Document

10.1109/CONTROL.2018.8516785

Cite this

Chen, X., Henry, M., & Duncan, S. R. (2018). An Enhanced Algorithm for Frequency Estimation in Power Systems. In 2018 UKACC 12th International Conference on Control, CONTROL 2018 (pp. 140-145). Article 8516785 (2018 UKACC 12th International Conference on Control, CONTROL 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CONTROL.2018.8516785

An Enhanced Algorithm for Frequency Estimation in Power Systems. / Chen, Xiaoqing; Henry, Manus; Duncan, Stephen R.
2018 UKACC 12th International Conference on Control, CONTROL 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 140-145 8516785 (2018 UKACC 12th International Conference on Control, CONTROL 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

Chen, X, Henry, M & Duncan, SR 2018, An Enhanced Algorithm for Frequency Estimation in Power Systems. in 2018 UKACC 12th International Conference on Control, CONTROL 2018., 8516785, 2018 UKACC 12th International Conference on Control, CONTROL 2018, Institute of Electrical and Electronics Engineers Inc., pp. 140-145, UKACC 12th International Conference on Control 2018, Sheffield, United Kingdom, 5/09/18. https://doi.org/10.1109/CONTROL.2018.8516785

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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.",

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doi = "10.1109/CONTROL.2018.8516785",

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N2 - 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.

AB - 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.

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An Enhanced Algorithm for Frequency Estimation in Power Systems

Abstract

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