Detection and estimation of topology and parameter errors from real-time measurements

Abstract

This paper deals with the detection and correction of topology and modeling errors in power system state estimation. The proposed method partitions the network into loops. Then anomalies-sensitive measurements are used to diagnose realtime data and the power system model. Finally the method is demonstrated on a real network.