Extended Kalman Filter is proposed to estimate in-phase and quadrature sinusoidal voltages of a three-phase power system network after they are transformed from abc natural coordinate reference frame to alpha-beta stationary reference coordinate frame to separate the positive, negative and zero sequences. Performance quality of the proposed estimation algorithm is simulated under unbalanced condition with MATLAB and LabVIEW. The feasibility of practical implementation of the proposed algorithm is deployed on a CompactRIO real-time FPGA embedded system from National Instruments and verified on a three-phase power system. This experimental setup provides highly accurate verification of the effectiveness of the estimation model. It also provides a solid demonstration of the practicability of Extended Kalman Filter applied to power system state estimation
|Commitee:||Alkin, Oktay, LeAnder, Robert|
|School:||Southern Illinois University at Edwardsville|
|Department:||Electrical and Computer Engineering|
|School Location:||United States -- Illinois|
|Source:||MAI 55/02M(E), Masters Abstracts International|
|Keywords:||Extended Kalman filter, Power system, State estimation|
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