Fast frequency and phase estimation in three phase power systems

Zhu Chen; Zafer Sahinoglu; Hongbin Li

doi:10.1109/PESMG.2013.6672077

Fast frequency and phase estimation in three phase power systems

Zhu Chen
, Zafer Sahinoglu
, Hongbin Li

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

6 Scopus citations

Abstract

In this paper, we investigate the fundamental frequency and phase estimation problem in a balanced three-phase power system with harmonic distortion. An estimation algorithm that can rapidly track the fast-changing frequency and phase by using quarter cycle samples are proposed. Specifically, the data model in the three-phase power system is first converted to the noise-corrupted single phase harmonic signal model by using the Clarke transformation. A new weighted least squares (WLS) parameter estimator, which refines the initial estimates from the standard estimation techniques, is computed by utilizing the harmonic structure of the signal. Since the initial estimates become unreliable with limited samples, we proposed an iterative algorithm to polish the initial estimates for WLS. Numerical results show that the proposed estimator outperforms the conventional estimators, especially in a data-limited case.

Original language	English
Title of host publication	2013 IEEE Power and Energy Society General Meeting, PES 2013
DOIs	https://doi.org/10.1109/PESMG.2013.6672077
State	Published - 2013
Event	2013 IEEE Power and Energy Society General Meeting, PES 2013 - Vancouver, BC, Canada Duration: 21 Jul 2013 → 25 Jul 2013

Publication series

Name	IEEE Power and Energy Society General Meeting
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Conference

Conference	2013 IEEE Power and Energy Society General Meeting, PES 2013
Country/Territory	Canada
City	Vancouver, BC
Period	21/07/13 → 25/07/13

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Phasor extraction
fundamental frequency estimation
harmonic structure
multiple signal classification
phase estimation
weighted least squares

Access to Document

10.1109/PESMG.2013.6672077

Cite this

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title = "Fast frequency and phase estimation in three phase power systems",

abstract = "In this paper, we investigate the fundamental frequency and phase estimation problem in a balanced three-phase power system with harmonic distortion. An estimation algorithm that can rapidly track the fast-changing frequency and phase by using quarter cycle samples are proposed. Specifically, the data model in the three-phase power system is first converted to the noise-corrupted single phase harmonic signal model by using the Clarke transformation. A new weighted least squares (WLS) parameter estimator, which refines the initial estimates from the standard estimation techniques, is computed by utilizing the harmonic structure of the signal. Since the initial estimates become unreliable with limited samples, we proposed an iterative algorithm to polish the initial estimates for WLS. Numerical results show that the proposed estimator outperforms the conventional estimators, especially in a data-limited case.",

keywords = "Phasor extraction, fundamental frequency estimation, harmonic structure, multiple signal classification, phase estimation, weighted least squares",

author = "Zhu Chen and Zafer Sahinoglu and Hongbin Li",

year = "2013",

doi = "10.1109/PESMG.2013.6672077",

language = "English",

isbn = "9781479913039",

series = "IEEE Power and Energy Society General Meeting",

booktitle = "2013 IEEE Power and Energy Society General Meeting, PES 2013",

note = "2013 IEEE Power and Energy Society General Meeting, PES 2013 ; Conference date: 21-07-2013 Through 25-07-2013",

}

TY - GEN

T1 - Fast frequency and phase estimation in three phase power systems

AU - Chen, Zhu

AU - Sahinoglu, Zafer

AU - Li, Hongbin

PY - 2013

Y1 - 2013

N2 - In this paper, we investigate the fundamental frequency and phase estimation problem in a balanced three-phase power system with harmonic distortion. An estimation algorithm that can rapidly track the fast-changing frequency and phase by using quarter cycle samples are proposed. Specifically, the data model in the three-phase power system is first converted to the noise-corrupted single phase harmonic signal model by using the Clarke transformation. A new weighted least squares (WLS) parameter estimator, which refines the initial estimates from the standard estimation techniques, is computed by utilizing the harmonic structure of the signal. Since the initial estimates become unreliable with limited samples, we proposed an iterative algorithm to polish the initial estimates for WLS. Numerical results show that the proposed estimator outperforms the conventional estimators, especially in a data-limited case.

AB - In this paper, we investigate the fundamental frequency and phase estimation problem in a balanced three-phase power system with harmonic distortion. An estimation algorithm that can rapidly track the fast-changing frequency and phase by using quarter cycle samples are proposed. Specifically, the data model in the three-phase power system is first converted to the noise-corrupted single phase harmonic signal model by using the Clarke transformation. A new weighted least squares (WLS) parameter estimator, which refines the initial estimates from the standard estimation techniques, is computed by utilizing the harmonic structure of the signal. Since the initial estimates become unreliable with limited samples, we proposed an iterative algorithm to polish the initial estimates for WLS. Numerical results show that the proposed estimator outperforms the conventional estimators, especially in a data-limited case.

KW - Phasor extraction

KW - fundamental frequency estimation

KW - harmonic structure

KW - multiple signal classification

KW - phase estimation

KW - weighted least squares

UR - https://www.scopus.com/pages/publications/84893182139

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U2 - 10.1109/PESMG.2013.6672077

DO - 10.1109/PESMG.2013.6672077

M3 - Conference contribution

AN - SCOPUS:84893182139

SN - 9781479913039

T3 - IEEE Power and Energy Society General Meeting

BT - 2013 IEEE Power and Energy Society General Meeting, PES 2013

T2 - 2013 IEEE Power and Energy Society General Meeting, PES 2013

Y2 - 21 July 2013 through 25 July 2013

ER -

Fast frequency and phase estimation in three phase power systems

Abstract

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Conference

UN SDGs

Keywords

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