Training Control Centers' Operators in Incident Diagnosis and Power Restoration Using Intelligent Tutoring Systems
Issue No.02 - April-June (2009 vol.2)
Luiz Faria , Institute of Engineering, Polytechnic of Porto, Portugal
António Silva , Institute of Engineering, Polytechnic of Porto, Portugal
Zita Vale , Institute of Engineering, Polytechnic of Porto, Portugal
Albino Marques , REN - Transmission Network, Portugal
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TLT.2009.16
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.
Cooperative learning, intelligent tutoring systems, on-the-job training, operators' training, power systems control centers.
Luiz Faria, António Silva, Zita Vale, Albino Marques, "Training Control Centers' Operators in Incident Diagnosis and Power Restoration Using Intelligent Tutoring Systems", IEEE Transactions on Learning Technologies, vol.2, no. 2, pp. 135-147, April-June 2009, doi:10.1109/TLT.2009.16