By Topic

A Kalman Filter Approach to Quasi-Static State Estimation in Electric Power 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

4 Author(s)
Ellery A. Blood ; Carnegie Mellon Univ., Pittsburgh, PA ; Marija D. Ilic ; Jovan Ilic ; Bruce H. Krogh

Static state estimation in electric power systems is normally accomplished without the use of time-history data. This paper presents preliminary work on the use of the discrete-time Kalman filter to incorporate time history into the state estimators. Transitional state equations are derived via linearization of the power flow equations. A simplified example using a decoupled real power flow solution demonstrates this technique.

Published in:

2006 38th North American Power Symposium

Date of Conference:

17-19 Sept. 2006