A robust estimation method for topology error identification

A pre-processing method that identifies both multiple topology errors and b ad measurements is described. The method determines the branch statuses by testing the real and reactive power flow estimates of all the branches of t he network, irrespective of their assumed statuses. The power flows are the state variables of two decoupled real and reactive power models that stem from both a detailed substation representation and a super-node modeling. T hey are estimated by means of the iteratively reweighted least-squares algo rithm that implements the Huber M-estimator. The procedure is not prone to divergence problems, which is of great value in a realtime environment. The performance of the method is demonstrated on the IEEE-118 bus system.