Weighted Least Absolute Value state estimation using interior point methods

This paper addresses the application of interior point methods to the Weighted Least Absolute Value state estimation problem. Interior point methods are applied to the primal and dual formulations of the problem. The dual formulation involves solving least squares problems identical in structure to those used in conventional Weighted Least Squares state estimation. The dual formulation also provides an initial feasible interior point without any extra effort. Computational issues that are critical to the success of interior point methods are addressed and test results on standard power systems are provided