Mohammad Ali Zamani - CIPCE, School ofECE, University College ofEngg., University of Tehran Tehran, Iran
Mohammad Amin Sharifi Kolarijani - CIPCE, School ofECE, University College ofEngg., University of Tehran Tehran, Iran
Alireza Fereidunian - ECE Dep., Power and Water University of Technology and CIPCE, School ofECE, University of Tehran Tehran, Iran
Hamid Lesani - CIPCE, School of ECE, Universi y College of Engg, University of Tehan Tehran, Iran
Caro Lucas - CIPCE, School ofECE, University College of Eng., University of Tehran Tehran, Iran

Interaction of humans and computer agents should be harmonized by adapting the utomation level of IT systems, to maintain a high performance for the system, in the changing environmental condition . This research presents an expert system for realization of adaptive autonomy (AA), using deterministic time Petri nets (DTPNs), referred to as AAPNES. The design is based on the practical list of environmental conditions nd superior expert`s judgments. As revealed by the results, the presented AAPNES can effectively determine the proper level of automation for the changing performance shaping factors of human-automation interaction systems in the smart grid.

adaptive autonomy, expert system, human-computer interaction (HCI), human-automation interaction (HAI), level of automation (LOA), smart grid, power distribution automation