Adaptive Robust Planner-Attacker-Operator Model Against Multistage Uncertain Malicious Attacks for Power Systems With Volatile Wind Power

Line hardening is regarded as a critical defense measure against malicious attacks in power systems. However, this defense strategy often ignores the uncertainty and multistage nature of malicious attacks. Moreover, with high wind power penetration in power system operation, the inherent volatility of wind power may compromise the performance of the defense strategy against malicious attacks. To address such issues, this article proposes an adaptive robust planner-attacker-operator (AR-PAO) model that accounts for both volatile wind power and multistage uncertain malicious attacks within a line hardening framework. A novel solution algorithm is then developed to solve the AR-PAO model for the optimal defense strategy, in which it improves computational efficiency. Comparative simulation results on two IEEE Reliability Test Systems validate the effectiveness of the proposed approach.