Scheduled System Maintenance:
On May 6th, single article purchases and IEEE account management will be unavailable from 8:00 AM - 12:00 PM ET (12:00 - 16:00 UTC). We apologize for the inconvenience.
By Topic

Detection and identification of topological errors in online power system analysis

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)
Singh, N. ; Asea Brown Boveri, Baden, Switzerland ; Glavitsch, H.

A method is presented for detection and identification of topological errors in online power system analysis. The method is based on a rule-based algorithm. The algorithm validates the changes in switch position using the information available in an energy management system (EMS). The temporal consistency of the analog measurements and switch positions is also used. The method has been tested in an actual EMS environment and has shown potential for use as a preprocessor or stand-alone method to be used in online power system analysis

Published in:

Power Systems, IEEE Transactions on  (Volume:6 ,  Issue: 1 )