Abstract
Selecting the best configuration for a cyber-network system is taken into account as one of the major challenges in terms of reliability evolution of smart systems because of a specific relationship between power network system and cyber one. Although the selection of a proper configuration for a simple cyber-network system can be done by trial and error as performed in previous studies, choosing the best configuration for a wide and complicated cyber-network system that can be connected to a bulk power one needs a robust and adequate computer algorithm considering cyber protocols and decision-making goals. In this paper, a novel method was proposed in order to introduce the best configuration for a cyber-network system to accommodate cyber protocols and have a remarkable effect on decreasing power blackout compared with those previously studied. To this end, two mathematical concepts were proposed; graph theory to consider cyber protocols and teaching-learning-based optimization to select the best cyber configuration with minimum expected energy not supplied