[Show abstract][Hide abstract] ABSTRACT: A review of methods for detecting topology errors in energy management systems applications is presented. The methods range from pre-processing consistency checks to those linked to a state estimator solution. The methods selected are tested on several networks and they are evaluated in terms of reliability, accuracy and ease of implementation.
[Show abstract][Hide abstract] 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.
[Show abstract][Hide abstract] ABSTRACT: State estimation assumes that measurement errors are statistically small, that data redundancy is adequate in number, type and topological distribution of measurements. Furthermore, network configuration and parameters are assumed known. Frequently, these hypotheses are not true. Topology errors result from errors in the status of the circuit breakers associated with a network branch such as a line, a transformer, a shunt capacitor, or a bus tie. In this paper, network configuration and parameter errors are addressed and an identification procedure is demonstrated.