Title :
Bad Data Groups in Power System State Estimation
Author :
Ayres, Mark ; Haley, Paul H.
Author_Institution :
Energy Management Systems Westinghouse Electric Corporation Pittsburgh, PA 15238
Abstract :
A problem in Power System State Estimation is the detection of Bad Data Groups. These are groups of measurements topologically related so that their normalized residuals are always equal (or nearly so). In this paper we derive numerical and topological methods to identify Bad Data Groups and include simulation and real time test results for the proposed methods.
Keywords :
Covariance matrix; Electric variables measurement; Energy management; Power system management; Power system measurements; Power system simulation; Power systems; Research and development; State estimation; Testing;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.1986.4334946
