Optimal energy m anagement of s mart b uildings under cyber attack

Abstract

A resilient optimal energy scheduling in interconnected smart buildings considering cyber-attack detection has been proposed in the present work. The proposed resilient scheduling considers interconnected multiple smart buildings with power exchange capability among the smart buildings. It is considered that each smart building is equipped with different types of distributed energy resources, battery storage systems, combined heat and power generators, thermal storage systems, and smart appliances. A comprehensive optimal and robust scheduling is formulated considering false data injection attack. The proposed method uses the information of anomaly between the actual and forecasted bills for detecting the cyber attack and making a resilient scheduling against possible attacks. The studies indicate that the optimal scheduling in interconnected smart buildings may reduce the cost up to 4.53% for the system depending on number of interconnected smart buildings.