Critical Node Identification of Cyber-Physical Power Systems Based on Improved Fuzzy Analytic Hierarchy Process

Aiming at the present information security problems and the one-sidedness of vulnerability assessment indicators of cyber-physical power systems, an assessment model is proposed based on the improved fuzzy analytic hierarchy process to identify the critical nodes of the system. Firstly, an integrated model of the cyber-physical power system is established, and the cascading failure process after component failure of the power system is taken into account. Secondly, several assessment indicators considering two aspects of power flow character and structural safety are given. A three-scale method and the optimal transfer matrix are employed to improve the traditional analytic hierarchy process, and the fuzzy comprehensive evaluation is used to determine the final result. Finally, the validity of the proposed method is verified on the model based on the IEEE 30-bus system.