Title :
Detection and identification of topological errors in online power system analysis
Author :
Singh, N. ; Glavitsch, H.
Author_Institution :
Asea Brown Boveri, Baden, Switzerland
fDate :
2/1/1991 12:00:00 AM
Abstract :
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
Keywords :
errors; load management; power system analysis computing; EMS; analog measurements; energy management system; online power system analysis; rule-based algorithm; switch positions; topological errors; Error correction; Medical services; Position measurement; Power system analysis computing; Power system measurements; Power system security; State estimation; Switches; System testing; Topology;
Journal_Title :
Power Systems, IEEE Transactions on
