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We earlier introduced a novel framework for realization of Adaptive Autonomy (AA) in human-automation interaction (HAI). This study presents an expert system for realization of AA, using Support Vector Machine (SVM), referred to as Adaptive Autonomy Support Vector Machine Expert System (AASVMES). The proposed system prescribes proper Levels of Automation (LOAs) for various environmental conditions,...
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...
While Smart Grid (SG) expectations call for automation of power distribution systems, disregarding human factors in the Distribution Automation (DA) systems can make it more problematic than beneficial. Thus, human factors and automation systems should be considered simultaneously. However, the interaction of humans and automation systems involves high level of complexity due to sophisticated human...
This paper presents an expert system for selecting a proper IT infrastructure for smart grid, based on a novel fuzzy approach to Tricotyledon Theory of System Design (Fuzzy-T3SD). The proposed Fuzzy-T3SD is a policy-driven decision making method that can change the result of the decision makings according to the utility's policy. The Fuzzy-T3SD is applied to the practical data of the Greater Tehran...
Interaction of human and computer agents should be harmonized by adapting the automation level of the IT systems to maintain a high performance for the system in changing environmental conditions. This research presents an expert system for the realization of adaptive autonomy (AA), using Petri Net (PN), referred to as AAPNES, based on practical list of environmental conditions and superior experts'...
While the smart grid dream is likely to be revisited, we are witnessing a convergence of Information Technology (IT) with power system engineering. This convergence should be managed tactfully, to obtain a consistent architecture for the smart grid. Due to the complex nature of the both IT and power systems, a higher degree of complexity emerges through the smart grid. Therefore, selection of the...
Smart grid expectations objectify the need for optimizing power distribution systems greater than ever. Distribution Automation (DA) is an integral part of the SG solution; however, disregarding human factors in the DA systems can make it more problematic than beneficial. As a consequence, Human-Automation Interaction (HAI) theories can be employed to optimize the DA systems in a human-centered manner...
Power grid cyber security is turning into a vital concern, while we are moving from the traditional power grid toward modern Smart Grid (SG). To achieve the smart grid objectives, development of Information Technology (IT) infrastructure and computer based automation is necessary. This development makes the smart grid more prone to the cyber attacks. This paper presents a cyber security strategy for...
We have introduced a novel framework for realization of Adaptive Autonomy (AA) in human-automation interaction (HAI) systems, as well as several expert system realizations of that. This study presents an expert system for realization of AA, using logistic regression (LR), referred to as Adaptive Autonomy Logistic Regression Expert System (AALRES). The proposed system prescribes proper Levels of Automation...
Intelligent control and automation is associated with expert systems; especially, when it needs to human expertise. Earlier we introduced a framework for implementation of adaptive autonomy (AA) in human-automation interaction systems, followed by a data-fusion-equipped expert system to realize that. This paper uses fuzzy sets concept to realize the AA expert system, in a real automation application...
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