Bad Data Groups in Power System State Estimation

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.