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Data-Driven estimation of frequency response from ambient synchrophasor measurements
Phuc Huynh
, Hao Zhu
, Qianli Chen
, Ahmed E. Elbanna
Civil and Environmental Engineering
Coordinated Science Lab
Beckman Institute for Advanced Science and Technology
National Center for Supercomputing Applications (NCSA)
Carl R. Woese Institute for Genomic Biology
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Keyphrases
Analytical Condition
50%
Blackout
50%
Correlation Approach
50%
Data-driven Estimation
100%
Dynamic Model
50%
Dynamic Study
50%
Eastern Interconnection
50%
Electromechanical Wave
50%
Electromechanical Wave Propagation
50%
Florida
50%
Frequency Response
100%
Generative Models
50%
Generator Speed
50%
High-order
50%
Interconnection System
50%
Measurement Basis
50%
Numerical Results
50%
Oscillation Mode
50%
Power Network
50%
Power Systems Frequency Response
50%
Propagation Time
50%
Real-time Grid Operation
50%
Speed Data
50%
Synchrophasor Measurements
100%
Synchrophasor Technology
50%
System Frequency Response
50%
Wave Propagation Model
50%
Engineering
Crosscorrelation
66%
Early Work
33%
Frequency Response
100%
Phasor Measurement Unit
100%
Power Engineering
33%
Real Data
33%
Speed Data
33%
System Frequency
66%