Title :
AAFGDES: A fuzzy expert system realization of Adaptive Autonomy using Gradient Descent
Author :
Zamani, M. Amin ; Fereidunian, Alireza ; Akhoundi, M.A.A. ; Lesani, H.
Author_Institution :
CIPCE, Univ. of Tehran, Tehran, Iran
Abstract :
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.
Keywords :
adaptive estimation; expert systems; fuzzy set theory; gradient methods; power distribution; power engineering computing; smart power grids; AAFGDES; GTEDC; Greater Tehran Electrical Distribution Company; HAI system; LOA; adaptive autonomy theory; data-driven approach; electric energy; fuzzy expert system realization; gradient descent algorithm; human-automation interaction system; learning strategy; level of automation; power system; smart grid; Adaptive systems; Automation; Educational institutions; Expert systems; Humans; Smart grids; Training; Adaptive Autonomy; Expert System; Fuzzy Systems; Gradient Descent; Human-Automation Interaction; Level of Automation (LOA); Performance Shaping Factors (PSFs); Power Distribution Automation; Smart Grid;
Conference_Titel :
PowerTech, 2011 IEEE Trondheim
Conference_Location :
Trondheim
Print_ISBN :
978-1-4244-8419-5
Electronic_ISBN :
978-1-4244-8417-1
DOI :
10.1109/PTC.2011.6019402
