Training Control Centers´ Operators in Incident Diagnosis and Power Restoration Using Intelligent Tutoring Systems

The activity of control center operators is important to guarantee the effective performance of power systems. Operators´ actions are crucial to deal with incidents, especially severe faults like blackouts. In this paper, we present an intelligent tutoring approach for training Portuguese control center operators in tasks like incident analysis and diagnosis, and service restoration of power systems. Intelligent tutoring system (ITS) approach is used in the training of the operators, having into account context awareness and the unobtrusive integration in the working environment. Several artificial intelligence techniques were criteriously used and combined together to obtain an effective intelligent tutoring environment, namely multiagent systems, neural networks, constraint-based modeling, intelligent planning, knowledge representation, expert systems, user modeling, and intelligent user interfaces.