By Topic

Real time recursive parameter estimation in energy management systems

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
$33 $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

3 Author(s)
I. W. Slutsker ; Siemens Empros Power Syst. Controls, Plymouth, MN, USA ; S. Mokhtari ; K. A. Clements

A new method of recursive parameter estimation using a Kalman filter is presented. The method is capable of estimating impedance parameters of network branches in both online and offline modes. It provides accurate estimation of branch parameters in the presence of noise in measurements and has the ability to identify and reject gross measurement errors. The method can track impedance parameters as they fluctuate due to changes in load and ambient conditions. Test results on a 100-bus network as well as results of method's implementation in a real life EMS are reported in the paper

Published in:

IEEE Transactions on Power Systems  (Volume:11 ,  Issue: 3 )