An artificial neural network and knowledge-based method for reasoning causes of power network faults

Understanding the cause of a fault in an electric power system in the system operation is essential for quick and adequate recovery actions such as the determination of the propriety of carrying out forced line charging and the necessity of network switching, and efficient patrolling. In this paper, the authors discuss a technique using an artificial neural network and knowledge-base for reasoning causes of power network faults and present the results obtained from a verification in which this technique was applied to a prototype system.<>