EWLS State Estimator Performance for Bad Data Detection and Identification

This paper introduces a novel methodology designed for the robust detection and identification of gross errors within measurement and network parameters. The Extended Weighted Least Squares (EWLS) estimator, adopted for the state estimation in a power system under steady-state conditions, addresses uncertainties associated with measurements and parameters, providing heightened resilience against parameter uncertainty. The approach efficacy is scrutinized through a comprehensive analysis utilizing the IEEE-14 bus system as a representative test case. This evaluation also encompasses scenarios wherein network parameters exhibit substantial uncertainty. A novel criterion for gross error identification is introduced.