TRANSFORMER TAP POSITION ESTIMATION AND BAD DATA DETECTION USING DYNAMIC SIGNAL MODELING

Tracking estimation of a transformer tap position is considered. Estim ation algorithm incorporating additional information about dynamic beh aviour of the measurements and tap positions is developed. It is based on the simultaneous state and tap position estimation method augmente d by measurement prefiltering based bad data detection and incorporati on of a tap position dynamics model into the estimation algorithm. Inc reased bad data identification reliability and the robustness of the e stimates to the measurement noise is obtained. The performance of the algorithm has been examined using the IEEE 30 and 118-node systems.