Cyber-Attacks Risk Mitigation on Power System via Artificial Intelligence Technique

Abstract

The rapid increase in the reliance on modern communication technologies of electrical grid has a great influence on the achieved improvement in the performance of network. However, a serious threat to the operation of the grid itself has emerged, which is the cyber-attack. To reduce the impact of this kind of attack on the electrical network, a new strategy was presented to provide an effective method to discover the nature of electrical disturbances according to specific criteria. One of the methods of artificial intelligence was used to discover the nature of cybernetic disturbances and distinguish them from other disturbances. The methodology of this method was tested on the IEEE 14-bus test system. Simulation results showed the capabilities of artificial intelligence to reach the target with high accuracy which helps grid operators of control center to better protect power system against threat of cyber-attack.