Dynamic Security Assessment for Power System Under Cyber-Attack

In recent years, power systems have become more dependent on new technological advancement in the communication network to send and receive data and commands through the wide area power network. This dependence has created a new threat to the network, known as a cyber-attack. Such attacks could lead to blackouts and the consequences on the security of the power system would be severe. This study presents a new approach, which aims at assessing the dynamic behavior of the test system's model under a cyber-attack contingency. The methodology used in this study was based on the scenarios of cyber-attacks on the protection relay devices to generate the database for dynamic security assessment. Then, a data mining framework was used for the database preparation and classification via feature selection algorithm and decision tree classifier. The results of the modified IEEE 30-bus test system model in this study showed a high accuracy of 99.537%, and a short time frame that makes this application suitable for real-time application to protect the power network from an insecure state and ensure that the power system remains reliable.