NDLI: Transient stability prediction algorithm based on post-fault recovery voltage measurements

Content Provider	IEEE Xplore Digital Library
Author	Gomez, F.R. Rajapakse, A.D. Annakkage, U.
Copyright Year	2009
Description	Author affiliation: University of Manitoba, Winnipeg, MB, R3T 5V6, Canada (Gomez, F.R.; Rajapakse, A.D.; Annakkage, U.)
Abstract	This paper presents a novel technique for predicting transient stability status of a power system following a large disturbance. The prediction is based on the synchronously measured samples of the fundamental frequency voltage magnitudes at each generation station. The voltage samples taken immediately after clearing the faults are input to a support vector machine classifier to identify the transient stability condition. The classifier is trained using examples of the post-fault recovery voltage measurements (inputs) and the corresponding stability status (output) determined using a power angle-based stability index. Studies with the New England 39-bus system indicate that the proposed algorithm can correctly recognize when the power system is approaching to the transient instability.
Starting Page	1
Ending Page	6
File Size	939570
Page Count	6
File Format	PDF
ISBN	9781424445080
DOI	10.1109/EPEC.2009.5420941
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-22
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Voltage measurement Transient Stability Power system transients Power system stability Frequency measurement Wide Area Protection Power system faults Support Vector Machines Support vector machines Power system measurements Support vector machine classification Prediction algorithms Nonlinear Classifiers Synchronous generators Phasor Measurement Units
Content Type	Text
Resource Type	Article

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