A Distributed Gauss-Newton Method for Power System State Estimation


A. Minot, Y. M. Lu, and N. Li, “A Distributed Gauss-Newton Method for Power System State Estimation,” IEEE Transactions on Power Systems, vol. 31, no. 5, pp. 3804-3815, 2016.

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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.

Last updated on 05/02/2018