Fault-current predetermination using time- limited CT secondary side measurements by the covariance-Prony method
Protective current transformers (CTs) are integrated into electrical power systems for assessment of the health of the system. They are intended to provide a scaled-down value of the line current. During major faults, excessive fault currents with decaying DC components could flow through the primar...
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my.utp.eprints.47132017-01-19T08:27:33Z Fault-current predetermination using time- limited CT secondary side measurements by the covariance-Prony method Kamel , Nidal TK Electrical engineering. Electronics Nuclear engineering Protective current transformers (CTs) are integrated into electrical power systems for assessment of the health of the system. They are intended to provide a scaled-down value of the line current. During major faults, excessive fault currents with decaying DC components could flow through the primary of the CT, causing core saturation and a consequent malfunction of the protection system. This problem is addressed in the paper, and a signal-processing scheme is proposed for fast predetermination of the peak value of the steady-state AC component, instant of occurrence of fault and the time constant of the decaying direct current. Samples of the CT secondary current are collected until the onset of saturation, and are operated upon using a covariance-Prony algorithm to estimate the aforementioned critical parameters. Simulation results in support of the proposed technique are also presented. IET 2004-11 Article PeerReviewed application/pdf http://eprints.utp.edu.my/4713/1/IEE-CT.pdf http://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=29984 Kamel , Nidal (2004) Fault-current predetermination using time- limited CT secondary side measurements by the covariance-Prony method. IEE Proceedings- Generation, Transmission and Distribution, , 151 (6). pp. 735-739. ISSN 1350-2360 http://eprints.utp.edu.my/4713/ |
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TK Electrical engineering. Electronics Nuclear engineering Kamel , Nidal Fault-current predetermination using time- limited CT secondary side measurements by the covariance-Prony method |
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Protective current transformers (CTs) are integrated into electrical power systems for assessment of the health of the system. They are intended to provide a scaled-down value of the line current. During major faults, excessive fault currents with decaying DC components could flow through the primary of the CT, causing core saturation and a consequent malfunction of the protection system. This problem is addressed in the paper, and a signal-processing scheme is proposed for fast predetermination of the peak value of the steady-state AC component, instant of occurrence of fault and the time constant of the decaying direct current. Samples of the CT secondary current are collected until the onset of saturation, and are operated upon using a covariance-Prony algorithm to estimate the aforementioned critical parameters. Simulation results in support of the proposed technique are also presented.
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Article |
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Kamel , Nidal |
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Kamel , Nidal |
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Kamel , Nidal |
title |
Fault-current predetermination using time- limited
CT secondary side measurements by the
covariance-Prony method |
title_short |
Fault-current predetermination using time- limited
CT secondary side measurements by the
covariance-Prony method |
title_full |
Fault-current predetermination using time- limited
CT secondary side measurements by the
covariance-Prony method |
title_fullStr |
Fault-current predetermination using time- limited
CT secondary side measurements by the
covariance-Prony method |
title_full_unstemmed |
Fault-current predetermination using time- limited
CT secondary side measurements by the
covariance-Prony method |
title_sort |
fault-current predetermination using time- limited
ct secondary side measurements by the
covariance-prony method |
publisher |
IET |
publishDate |
2004 |
url |
http://eprints.utp.edu.my/4713/1/IEE-CT.pdf http://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=29984 http://eprints.utp.edu.my/4713/ |
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1738655364229890048 |
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13.209306 |