Bad Data Rejection Properties of Weughted Least Absolute Value Techniques Applied to Static State Estimation

Abstract

A new method for obtaining an estimate of the state of a power system using weighted least absolute value (WLAV) techniques is presented. This paper shows how the WLAV estimator simultaneously detects and rejects bad data while obtaining an accurate estimate of the state. The test results presented show that the WLAV estimates, obtained with or without bad data present, are comparable to the estimates obtained by a weighted least squares (WLS) estimator using only good data.