AAFGDES: A fuzzy expert system realization of Adaptive Autonomy using Gradient Descent

The complexity of humans and automation interaction in Smart Grid, as the future of power system, calls for embedding a level of intelligence in the system. Adaptive Autonomy (AA) theory is employed to manage high level complexity of the Human-Automation Interaction (HAI) system. The fuzzy expert system with Gradient Descent Algorithm (AAFGDES) is a data-driven approach applied to determine the Level of Automation (LOA). Six scenarios are developed to evaluate different learning strategies. The results will reveal the performance of the system. The research has been performed in collaboration with the Greater Tehran Electrical Distribution Company (GTEDC) - an enterprise that delivers electric energy to the end consumers.