Architecture of an Intelligent Training System based on Virtual Environments for Electricity Distribution Substations

In the electrical domain, qualified electricians are required since it involves danger. Training has been based on classroom courses and practice in the real installations, but it takes a long time and is costly. We propose to complement traditional training with an intelligent training system based on virtual environments in such a way that a blended training model is composed. We are looking for adaptive and innovative training; therefore we are including the characteristics and states of the student to adapt the instruction. We are developing a system to teach novice student how an electrical substation works as well as its individual compounding equipment. The proposed architecture for the intelligent training system and the development progress of the virtual environment are presented.