A hybrid approach based energy management for building resilience against power outage by shared parking station for EVs

A major contribution of this work is to develop an efficient hybrid technique for building energy resilience against natural disasters, which cause power outages for commercial and residential buildings. The novelty of the proposed method is the combination of Chicken Search Optimization and the Spike Neural Network learning algorithm. The buildings are designed using shared electric vehicle parking station. Buildings are modeled with peer-to-peer functionality. Electric vehicle inside the parking station are available in a variety of forms, as the commercial building utilizes parking station at day time, also the residential building mostly utilizes at midnight. These variations help vehicles to be utilized for additional hours. A building is maintained through power management options to deal with these interruptions. The choices include peer-to-peer building operation, electric vehicle charging and discharging, partial charge capability, load reduction, and load adjustment. The proposed technique makes use of building components and does not require any additional components for building energy management. The main contribution of this paper is to diminish energy costs and increase energy resilience to natural disasters. Resiliency is described as the ability to restore harmful loads while experiencing minimum power loss after successive power outages. The performance of the proposed system is evaluated using the MATLAB platform and compared to existing systems.