Abstract
Abstract In this paper a computationally efficient version of a power system tracking state estimator using linear programming is presented. This type of estimator minimizes the weighted sum of the absolute values of the estimation residuals and has the property of automatic gross error rejection in most situations likely to occur in practice. The estimation algorithm is formulated as a sequence of linear programming problems which can be solved by any standard technique. In order to optimize the computation effort, the sequence of problems is treated as a set of post-optimization problems in which only the right hand side terns of the equality constraints are different. Then, the problems are solved by a combined application of the revised simplex and dual simplex algorithms.
Published Version
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