%0 Journal Article %J IEEE Transactions on Power Systems %D 2016 %T A Distributed Gauss-Newton Method for Power System State Estimation %A Ariana Minot %A Yue M. Lu %A N. Li %X

We propose a fully distributed Gauss-Newton algorithm for state estimation of electric power systems. At each Gauss-Newton iteration, matrix-splitting techniques are utilized to carry out the matrix inversion needed for calculating the Gauss-Newton step in a distributed fashion. In order to reduce the communication burden as well as increase robustness of state estimation, the proposed distributed scheme relies only on local information and a limited amount of information from neighboring areas. The matrix-splitting scheme is designed to calculate the Gauss-Newton step with exponential convergence speed. The effectiveness of the method is demonstrated in various numerical experiments.

%B IEEE Transactions on Power Systems %V 31 %P 3804-3815 %8 2016 %G eng %N 5