Short-term voltage instability prediction using pre-identified voltage templates and machine learning classifiers

System operators use different procedures to detect disturbances which can lead to short-term voltage instability. These schemes are designed using the domain knowledge and generally specific for the corresponding system. The design procedure of such schemes is heuristic and cannot be directly appli...

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Bibliographic Details
Main Authors:	Kalana Dharmapala, Athula Rajapakse
Format:	Article
Language:	English
Published:	Elsevier 2024-02-01
Series:	International Journal of Electrical Power & Energy Systems
Subjects:	Fuzzy C-mean clustering Machine learning classifier Short-term voltage stability Synchrophasor technology Wide-area monitoring
Online Access:	http://www.sciencedirect.com/science/article/pii/S0142061523008153
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Short-term voltage instability prediction using pre-identified voltage templates and machine learning classifiers

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