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A Cyber Risk Assessment and Detection Method for Power Systems Against Data Integrity Attack on Load Frequency Control

Modern power system is a typical cyber-physical system due to the coupling of primary and secondary systems. The development of renewable energy and smart grids make many new application scenarios. Various new communication technologies make the system complex. Cyber systems and complex network environments have introduced a series of security issues. All of which make them easy to become ideal targets for cyberattacks. Therefore, it is of great significance to the research of cyber security in cyber-physical systems. This paper selects a scenario of centralized LFC, considers the linearized discrete system model under partial observation with Gaussian disturbance. Based on the known and un-changed characteristics of the physical model of the control system, dynamic watermarking is used to detect data integrity attacks from malicious sensors.