Data-driven Transient Stability Assessment Model Considering Network Topology Changes via Mahalanobis Kernel Regression and Ensemble Learning
Transient stability assessment (TSA) is of great importance in power system operation and control. One of the usual tasks in TSA is to estimate the critical clearing time (CCT) of a given fault under the given network topology and pre-fault power flow. Data-driven methods try to obtain models descri...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
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Series: | Journal of Modern Power Systems and Clean Energy |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9275596/ |