Estimating dynamic states for real-time power grid operation

05 Aug 2015
Primary Committee:
Power System Dynamic Performance
Sponsored by:
Power System Dynamic Performance
Zhenyu Huang
Page/Slide Count:
Slides: 96
Capturing real-time power system dynamics: opportunities and challenges Least Squares Estimation and Kalman Filter Based Dynamic State and Parameter Estimation Hybrid processing of SCADA and synchronized phasor measurements for tracking network state Correction Factors for Dynamic State Estimation of Aggregated Generators Synchrophasor measurements based power system distributed dynamic state estimation

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