An algebraic approach for identifying operating point dependent parameters of synchronous machines using orthogonal series expansions

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

doi:10.1109/60.911410

An algebraic approach for identifying operating point dependent parameters of synchronous machines using orthogonal series expansions

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

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

41 Scopus citations

Abstract

This paper presents a method for identifying armature and field parameters of synchronous machines from Digital Fault Recorder (DFR) data. The method uses operational properties of orthogonal series expansions such as the Hartley, Walsh and Fourier series to transform a set of differential equations into linear algebraic equations. The algebraic formulation and use of operational calculus reduce the problem of identifying parameters to the manipulation of matrices that may be easily performed in such computational packages as Matlab. The variation of machine parameters with operating point is considered.

Original language	English (US)
Pages (from-to)	92-98
Number of pages	7
Journal	IEEE Transactions on Energy Conversion
Volume	16
Issue number	1
DOIs	https://doi.org/10.1109/60.911410
State	Published - Mar 2001

Keywords

Hartley series
Least squares
Maximum likelihood
Operational matrices
Parameter estimation
Synchronous machines

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering

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10.1109/60.911410

Cite this

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title = "An algebraic approach for identifying operating point dependent parameters of synchronous machines using orthogonal series expansions",

abstract = "This paper presents a method for identifying armature and field parameters of synchronous machines from Digital Fault Recorder (DFR) data. The method uses operational properties of orthogonal series expansions such as the Hartley, Walsh and Fourier series to transform a set of differential equations into linear algebraic equations. The algebraic formulation and use of operational calculus reduce the problem of identifying parameters to the manipulation of matrices that may be easily performed in such computational packages as Matlab. The variation of machine parameters with operating point is considered.",

keywords = "Hartley series, Least squares, Maximum likelihood, Operational matrices, Parameter estimation, Synchronous machines",

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 November 1, 1999. This work was supported by the NSF 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. L. Agrawal and D. Selin are with Arizona Public Service, Phoenix, AZ. Publisher Item Identifier S 0885-8969(01)02662-6.",

year = "2001",

month = mar,

doi = "10.1109/60.911410",

language = "English (US)",

volume = "16",

pages = "92--98",

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 November 1, 1999. This work was supported by the NSF 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. L. Agrawal and D. Selin are with Arizona Public Service, Phoenix, AZ. Publisher Item Identifier S 0885-8969(01)02662-6.

PY - 2001/3

Y1 - 2001/3

N2 - This paper presents a method for identifying armature and field parameters of synchronous machines from Digital Fault Recorder (DFR) data. The method uses operational properties of orthogonal series expansions such as the Hartley, Walsh and Fourier series to transform a set of differential equations into linear algebraic equations. The algebraic formulation and use of operational calculus reduce the problem of identifying parameters to the manipulation of matrices that may be easily performed in such computational packages as Matlab. The variation of machine parameters with operating point is considered.

AB - This paper presents a method for identifying armature and field parameters of synchronous machines from Digital Fault Recorder (DFR) data. The method uses operational properties of orthogonal series expansions such as the Hartley, Walsh and Fourier series to transform a set of differential equations into linear algebraic equations. The algebraic formulation and use of operational calculus reduce the problem of identifying parameters to the manipulation of matrices that may be easily performed in such computational packages as Matlab. The variation of machine parameters with operating point is considered.

KW - Hartley series

KW - Least squares

KW - Maximum likelihood

KW - Operational matrices

KW - Parameter estimation

KW - Synchronous machines

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JO - IEEE Transactions on Energy Conversion

JF - IEEE Transactions on Energy Conversion

IS - 1

ER -

An algebraic approach for identifying operating point dependent parameters of synchronous machines using orthogonal series expansions

Abstract

Keywords

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