Cybersecurity Strategies for Intrusion Detection in Smart Grid Generation and Transmission Systems

In order to keep the electric power system running smoothly and reliably, it is constantly monitored and controlled by an intelligent cyber layer that consists of data processing algorithms and a wide network of sensors. Cyberattacks on this data processing and collecting system might halt operations and have catastrophic physical consequences like system breakdowns. Among the many attack methods that are often used, false data injection attacks (FDIA) stand out. To avoid detection by the condition estimator's inherent anomaly detection mechanisms, an attacker tries to trick the grid's foundation control system into producing disturbances. On top of that, there are major issues with customer-end security. For instance, criminals might intercept, alter, or replay wireless transmissions of power consumption signals sent by consumers to their utility provider. The smart grid is therefore beset by privacy and security issues. Protecting the vital infrastructure of the electricity system against cyberattacks is one of the goals of this study. The contribution may be broken down into three parts, as mentioned before. The smart grid design and technological advancements brought forth by digitization are the topics of the thesis. Next, it delves into the security issues surrounding the smart grid's two most important cyber-physical systems: the infrastructure serving end users and the generating and transmission side.