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Cyber Attack Detection in Distributed DC Microgrid

Emerging microgrids are distinguished by their ability to make automated decisions with the data available from the Internet of Things (IoT) based sensor devices application in control and monitoring purposes. However, the hardware used in the electric grid is becoming increasingly vulnerable to cyberattack, which leads not only to financial loss but also affects the operation of microgrids. In this article, a virtual sensor placement approach is proposed to continuously monitor and detect malicious activities at a hardware level of the DC microgrid system. Hence, a state observer-based method is developed across the selected DC converters, which not only observes the malicious activity but also consumes less computational burden. This proposed method is simple in design, efficient in operation, and easily implemented in a distributed control system. The proposed method is implemented in real-time hardware using the LabView test bench by considering the three DC systems connected in a ring manner communicated via the ethernet-based local area network.