Using Trajectory Clusters to Define the Most Relevant Features for Transient Stability Prediction Based on Machine Learning Method

Using Trajectory Clusters to Define the Most Relevant Features for Transient Stability Prediction Based on Machine Learning Method

To achieve rapid real-time transient stability prediction, a power system transient stability prediction method based on the extraction of the post-fault trajectory cluster features of generators is proposed. This approach is conducted using data-mining techniques and support vector machine (SVM) mo...

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Bibliographic Details
Main Authors: Luyu Ji, Junyong Wu, Yanzhen Zhou, Liangliang Hao
Format: Article
Language:English
Published: MDPI AG 2016-11-01
Series:Energies
Subjects:
transient stability prediction
trajectory clusters
support vector machines
feature extraction and selection
Online Access:http://www.mdpi.com/1996-1073/9/11/898

Internet

http://www.mdpi.com/1996-1073/9/11/898

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