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.energy management system, FDIA, FDIA detection, power exchange capability, real time pricing | INTRODUCTIONSmart home are end-users of power grids, and they are essential components of the smart grid infrastructure. Smart home appliance scheduling techniques play a significant role in smart home energy management systems (SHEMS) as they are responsible for energy consumption. Multi-smart building energy management systems (MSBEMS) are specifically used to reduce dependency on the main utility because they can trade power among themselves. In this way, the consumer's average energy cost is reduced, and the energy load balance of the power grid is maintained for a fixed time horizon. A welldesigned electricity pricing scheme from the utility side will guide the energy consumption of the MSBEMS consumer. The utility also provides its consumer with a demand response (DR) program for proper energy usage at different time intervals. Renewable energy resources (RERs) such as roof-top wind turbine and solar PV panels are installed in residential smart buildings to reduce

Research on building integrated energy optimization scheduling based on improved whale algorithm

“…Figure 1 depicts a building-based integrated energy structure, from which the building system is powered by an external distribution grid with local renewable energy sources. The building consists of a roof, an above ground floor, and an underground parking lot [4]. The roof of the building is equipped with photovoltaic panels; the underground parking lot, in addition to providing parking spaces, can manage the charging of Electric Vehicles (EVs) through charging piles to ensure the daily travel needs of users.…”

A Comprehensive Review on Cyber-Attacks in Power Systems: Impact Analysis, Detection, and Cyber Security

“…The work highlights the implementation of a lightweight scalable blockchain-based multi-party computational protocol that can be employed for resource constraint networks. In [121], the authors have proposed a resilient scheduling strategy that uses additional metrics based on the difference between forecasted and actual bills to detect FDIA in interconnected multiple smart buildings. Besides, the support vector regression method has been used to calculate predicted bills.…”

Review of cybersecurity for integrated energy systems with integration of cyber‐physical systems

“…Given the scenario that the building level IES is attacked by FDI, ref. [92] proposes to realize the resiliency operation of IES by limiting the deviation between the actual load and the predicted value of the typical load. However, all these methods do not consider the complex energy flow and information flow coupling environment of IECPS.…”

“…Ref. [92] proposes a machine‐learning approach to detect cyberattacks against building‐level IES systems. For the DoS and replay attacks on the energy management system of building‐level IES systems, ref.…”