Fault Identification in Three-Phase Distribution Networks Improved by Line Parameter Estimation

Fault detection and location algorithms require grid knowledge to be highly accurate. Possible deviations of actual line parameters with respect to the expected ones can affect the detection and location performance. To reduce fault analysis uncertainty, we propose the application of a simultaneous estimation of line parameters and systematic errors, along with a proper handling of the measurements chain, in a fault detection and location method. The validity of the proposed approach is confirmed by the simulations carried out by means of a Real Time Digital Simulator (RTDS) on the three-phase CIGRE European Medium Voltage distribution network.