State Estimation with Identification of Erroneous Network Parameters

Erroneous data of the power network parameters can have a massive impact on the quality of the power system state estimation. In general, existing databases for state estimation are used assuming that data is trustful. However, this is not always the case. Erroneous parameters can induce wrong state estimations or mistakenly indicate bad data measurements. In this paper, we propose a methodology for the identification of parameter errors in a power system and run state-estimation in the presence of these parameter errors. This algorithm was tested against different IEEE test systems, and the results showed high reliability on separating correct from incorrect parameters with minimal information about the power system.