Towards smarter cities: A self-healing resilient Microgrid Social Network

In recent years, Microgrids (MGs), a widely acceptable smaller-scale energy infrastructure, are proved to be valuable in their resilience and reliability specially during extreme disasters that cause blackouts and major grid instabilities and being positioned to represent modulator building blocks for critical energy infrastructure in future sustainable smarter cities. In this paper, we propose a self-healing resilient Microgrid Social Network (MGSN) architecture in which the networked Microgrids (MGs) are connected by a common physical bus and online social network. To model the interaction between the cyber, physical and social information flow in MGSN, we develop a Deep Belief Network (DBN)-based method that characterizes and predicts the social relation between the individual MGs in the MGSN. Furthermore, we propose a game-theoretic paradigm to design the cooperation between the MGs in an emergency. Case studies demonstrate the effectiveness of our proposed MGSN architecture.