Linear programming state estimation: error analysis and gross error identification

The authors present a linearized error analysis and a gross error identification procedure for a power system linear programming state estimator. This type of estimator uses the weighted sum of the estimation residuals as its performance criterion and has the property of automatic gross error rejection in most situations likely to occur in practice. Numerical results which illustrate the practical application of the proposed technique to some power systems are presented.>