AUTOMATION OF KNOWLEDGE ACQUISITION AND REPRESENTATION FOR FAULT-DIAGNOSIS IN POWER DISTRIBUTION NETWORKS

A fault diagnosis system for power distribution networks using machine learning of fault patterns through a network state capturing mechanis m is described. A special knowledge based system record format is prop osed for knowledge representation. By linking to a distribution networ k simulator, the diagnostic system has been trained and verified. Two model distribution systems have also been tested and the developed sys tem can be integrated in an existing supervisory and data acquisition (SCADA) system.