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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2016-11-01
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Series: | Energies |
Subjects: | |
Online Access: | http://www.mdpi.com/1996-1073/9/11/898 |