In this paper, a new formulation for power system state estimation is proposed. The formulation is based on regularized least squares method which uses the principle of Thikonov’s regularization to overcome the limitations of conventional state estimation methods. In this approach, the mathematical unfeasibility which results from the lack of measurements in case of ill-posed problems is elimin...

Summary This work studies an experimental design problem where the values of a predictor variable, denoted by $x$, are to be determined with goal estimating function $m(x)$, which is observed noise. A linear model fitted but it not assumed that correctly specified. It follows quantity interest best approximation $\ell(x)$. shown in this framework ordinary least squares estimator typically leads...