By Topic

Transformer tap position estimation and bad data detection using dynamic signal modelling

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Handschin, E. ; Dept. of Electr. Eng., Dortmund Univ., Germany ; Kliokys, E.

Tracking estimation of a transformer tap position is considered. An estimation algorithm incorporating additional information about the dynamic behaviour of the measurements and tap positions is developed. It is based on the simultaneous state and tap position estimation method augmented by measurement prefiltering based bad data detection and incorporation of a tap position dynamics model into the estimation algorithm. Increased bad data identification reliability and the robustness of the estimates to the measurement noise is obtained. The performance of the algorithm has been examined using the IEEE 30 and 118-node systems

Published in:

Power Systems, IEEE Transactions on  (Volume:10 ,  Issue: 2 )