Power system dynamic state estimation based on a new particle filter

Procedia Environmental Sciences

Volumn 11, Issue PART B, 2011, Pages 655-661

  Chen, Huanyuan ^a   Liu, Xindong ^a   She, Caiqi ^a   Cheng, Yao ^a  

^a JINAN UNIVERSITY   (China)

Author keywords

Dynamic state estimation; Mixed Kalman Particle Filter; Mixed measurement; Power system; Simulation

Indexed keywords

BANDPASS FILTERS; BEARINGS (MACHINE PARTS); ENVIRONMENTAL ENGINEERING; EXTENDED KALMAN FILTERS; KALMAN FILTERS; MONTE CARLO METHODS; NONLINEAR FILTERING; STATE ESTIMATION;

DYNAMIC STATE ESTIMATION; MIXED KALMAN PARTICLE FILTERS; MIXED MEASUREMENTS; POWER SYSTEM; SIMULATION;

ELECTRIC POWER SYSTEM MEASUREMENT;

EID: 84863178361     PISSN: None     EISSN: 18780296     Source Type: Conference Proceeding    
DOI: 10.1016/j.proenv.2011.12.102     Document Type: Conference Paper

References (9)

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