Abstract
Cyber risk management is a burgeoning field in the digital age as governments, businesses, and organizations are increasingly reliant on computer networks for successful operations. One particular application area is smart grids, or specifically microgrids, which rely on a system of integrated devices to automate energy management. Due to the necessity of effective power distribution, combined with expansive interconnectivity, microgrids must operate continuously by identifying and preventing cyber intrusions. The Dynamic Data Driven Applications Systems (DDDAS) framework serves as an effective paradigm to incorporate large streams of sensor data continuously updating parameterized models to dynamically determine the outputs of the system. This chapter explores the cyber-physical structures of microgrids and introduces a DDDAS-based framework for simulating and detecting cyber hazards to the system.