Synchronous machine parameter estimation using the Hartley series

J. Jesús Rico Melgoza; Gerald Thomas Heydt; Ali Keyhani; Baj L. Agrawal; Douglas Selin

doi:10.1109/60.911403

Synchronous machine parameter estimation using the Hartley series

J. Jesús Rico Melgoza, Gerald Thomas Heydt, Ali Keyhani, Baj L. Agrawal, Douglas Selin

Research output: Contribution to journal › Article › peer-review

66 Scopus citations

Abstract

This paper presents a novel alternative to estimate armature circuit parameters of large utility generators using real time operating data. The proposed approach uses the Hartley series for fitting operating data (voltage and currents measurements). The essence of the method is the use of linear state estimation to identify the coefficients of the Hartley series. The approach is tested for noise corruption likely to be found in measurements. The method is found to be suitable for the processing of digital fault recorder data to identify synchronous machine parameters.

Original language	English (US)
Pages (from-to)	49-54
Number of pages	6
Journal	IEEE Transactions on Energy Conversion
Volume	16
Issue number	1
DOIs	https://doi.org/10.1109/60.911403
State	Published - Mar 2001

Keywords

Fault detection in field windings
Hartley series
On-line tracking
Operational matrices
Orthogonal series expansion
Parameter estimation

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering

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10.1109/60.911403

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title = "Synchronous machine parameter estimation using the Hartley series",

abstract = "This paper presents a novel alternative to estimate armature circuit parameters of large utility generators using real time operating data. The proposed approach uses the Hartley series for fitting operating data (voltage and currents measurements). The essence of the method is the use of linear state estimation to identify the coefficients of the Hartley series. The approach is tested for noise corruption likely to be found in measurements. The method is found to be suitable for the processing of digital fault recorder data to identify synchronous machine parameters.",

keywords = "Fault detection in field windings, Hartley series, On-line tracking, Operational matrices, Orthogonal series expansion, Parameter estimation",

author = "{Jes{\'u}s Rico Melgoza}, J. and Heydt, {Gerald Thomas} and Ali Keyhani and Agrawal, {Baj L.} and Douglas Selin",

note = "Funding Information: Manuscript received May 18, 1999; revised May 2, 2000. This work was supported by the NSF supported Industry University Cooperative Research Center for the Advanced Control of Energy and Power Systems (ACEPS). J. J. Rico Melgoza is with the University of Michoac{\'a}n, Morelia, M{\'e}xico. G. T. Heydt is with Arizona State University, Tempe, AZ. A. Keyhani is with Ohio State University, Columbus, OH. B. Agrawal and D. Selin are with Arizona Public Service, Phoenix, AZ. Publisher Item Identifier S 0885-8969(01)02655-9.",

year = "2001",

month = mar,

doi = "10.1109/60.911403",

language = "English (US)",

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pages = "49--54",

journal = "IEEE Transactions on Energy Conversion",

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AU - Jesús Rico Melgoza, J.

AU - Heydt, Gerald Thomas

AU - Keyhani, Ali

AU - Agrawal, Baj L.

AU - Selin, Douglas

N1 - Funding Information: Manuscript received May 18, 1999; revised May 2, 2000. This work was supported by the NSF supported Industry University Cooperative Research Center for the Advanced Control of Energy and Power Systems (ACEPS). J. J. Rico Melgoza is with the University of Michoacán, Morelia, México. G. T. Heydt is with Arizona State University, Tempe, AZ. A. Keyhani is with Ohio State University, Columbus, OH. B. Agrawal and D. Selin are with Arizona Public Service, Phoenix, AZ. Publisher Item Identifier S 0885-8969(01)02655-9.

PY - 2001/3

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N2 - This paper presents a novel alternative to estimate armature circuit parameters of large utility generators using real time operating data. The proposed approach uses the Hartley series for fitting operating data (voltage and currents measurements). The essence of the method is the use of linear state estimation to identify the coefficients of the Hartley series. The approach is tested for noise corruption likely to be found in measurements. The method is found to be suitable for the processing of digital fault recorder data to identify synchronous machine parameters.

AB - This paper presents a novel alternative to estimate armature circuit parameters of large utility generators using real time operating data. The proposed approach uses the Hartley series for fitting operating data (voltage and currents measurements). The essence of the method is the use of linear state estimation to identify the coefficients of the Hartley series. The approach is tested for noise corruption likely to be found in measurements. The method is found to be suitable for the processing of digital fault recorder data to identify synchronous machine parameters.

KW - Fault detection in field windings

KW - Hartley series

KW - On-line tracking

KW - Operational matrices

KW - Orthogonal series expansion

KW - Parameter estimation

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JO - IEEE Transactions on Energy Conversion

JF - IEEE Transactions on Energy Conversion

IS - 1

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Synchronous machine parameter estimation using the Hartley series

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Keywords

ASJC Scopus subject areas

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