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Real-time transient stability prediction and coherency identification in power systems using Koopman mode analysis
Sevda Jafarzadeh
, Istemihan Genc
, Arye Nehorai
Department of Electrical & Systems Engineering
Roy and Diana Vagelos Division of Biology & Biomedical Sciences (DBBS)
DBBS - Computational and Systems Biology
DBBS - Neurosciences
DBBS - Biomedical Informatics and Data Science
Research output
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Contribution to journal
›
Article
›
peer-review
21
Scopus citations
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Keyphrases
Predicting the Future
100%
Time Transient
100%
Future Samples
100%
Transient Stability Assessment
100%
Power System
100%
Coherency Identification
100%
Koopman Analysis
100%
Additional Time
50%
Eigenvalues
50%
Novel Methodology
50%
Limited Time
50%
Systems-based
50%
System Stability
50%
Transient Stability
50%
Islanding Scheme
50%
Defensive Islanding
50%
PMU Measurements
50%
Koopman
50%
Sampling Window
50%
Emergency Control
50%
Coherent Generators
50%
Engineering
Power Engineering
100%
Mode Analysis
100%
Coherency
100%
Transient Stability
100%
Eigenvalue
50%
Test System
50%
Control Action
50%
Sampling Window
50%
Alarm Condition
50%