An algebraic approach for identifying operating point dependent parameters of synchronous machines using orthogonal series expansions
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...
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Veröffentlicht in: | IEEE transactions on energy conversion 2001-03, Vol.16 (1), p.92-98 |
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creator | Melgoza, J.J.R. Heydt, G.T. Keyhani, A. Agrawal, B.L. Selin, D. |
description | 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. |
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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.</description><identifier>ISSN: 0885-8969</identifier><identifier>EISSN: 1558-0059</identifier><identifier>DOI: 10.1109/60.911410</identifier><identifier>CODEN: ITCNE4</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Algebra ; Calculus ; Differential equations ; Fault diagnosis ; Fourier series ; Least squares approximation ; Mathematical analysis ; Matlab ; Maximum likelihood detection ; Maximum likelihood estimation ; Parameter estimation ; Power system dynamics ; Power system interconnection ; Power system modeling ; Recorders ; Series expansion ; Synchronous machines</subject><ispartof>IEEE transactions on energy conversion, 2001-03, Vol.16 (1), p.92-98</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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The variation of machine parameters with operating point is considered.</description><subject>Algebra</subject><subject>Calculus</subject><subject>Differential equations</subject><subject>Fault diagnosis</subject><subject>Fourier series</subject><subject>Least squares approximation</subject><subject>Mathematical analysis</subject><subject>Matlab</subject><subject>Maximum likelihood detection</subject><subject>Maximum likelihood estimation</subject><subject>Parameter estimation</subject><subject>Power system dynamics</subject><subject>Power system interconnection</subject><subject>Power system modeling</subject><subject>Recorders</subject><subject>Series expansion</subject><subject>Synchronous machines</subject><issn>0885-8969</issn><issn>1558-0059</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2001</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkT9PwzAQxS0EEqUwsDJZLIghxU5ixxmrin9SJRaYI8c5t64S29iJRD8A35uUVAxMd7r309M7PYSuKVlQSsoHThYlpTklJ2hGGRMJIaw8RTMiBEtEyctzdBHjjhCas5TO0PfSYtluoA7SKCy9D06qLdYuYNOA7Y3eG7vBzkOQ_WHzztgeN-DBHnTsZZAd9BAidhrHvVXb4KwbIu5GI2Mh4iH-WoR-6zbOyhZHCGa8w5eXNhpn4yU607KNcHWcc_Tx9Pi-eknWb8-vq-U6URlhfULrhgJrRKoLrkWuFGvqkqVSagaqljUrgJQZE0pwlRKmaZPlWSEaWWSKFw1kc3Q3-Y5vfg4Q-6ozUUHbSgtj5KqkOc9JJthI3v4jd24IY_hYCZFzLlghRuh-glRwMQbQlQ-mk2FfUVId6qg4qaY6RvZmYg0A_HFH8Qd_Zoja</recordid><startdate>20010301</startdate><enddate>20010301</enddate><creator>Melgoza, J.J.R.</creator><creator>Heydt, G.T.</creator><creator>Keyhani, A.</creator><creator>Agrawal, B.L.</creator><creator>Selin, D.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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subjects | Algebra Calculus Differential equations Fault diagnosis Fourier series Least squares approximation Mathematical analysis Matlab Maximum likelihood detection Maximum likelihood estimation Parameter estimation Power system dynamics Power system interconnection Power system modeling Recorders Series expansion Synchronous machines |
title | An algebraic approach for identifying operating point dependent parameters of synchronous machines using orthogonal series expansions |
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