Adaptive Resilient Control Strategy for Wind Turbines Against Replay Attacks

As the wind power generation capacity increases continuously, the vulnerability of the wind turbine communication system is gradually exposed. In particular, the Ethernet-based communication link is easily utilized by attackers to implement replay attacks, leading to erroneous transmission of measurement signals. This paper presents a resilient control strategy based on a switching mechanism to address the problem of replay attacks on rotor speed measurement signals in wind turbines. Firstly, the dynamics of wind turbine system and replay attack model are established. Then, a neural network-based state estimator is developed to compensate for the erroneous rotor speed measurement signal caused by the attack. Finally, a switching-type resilient control algorithm is presented to mitigate the effect of the attack, and comprehensive studies are executed on a 1.5 MW wind turbine in FAST software. The simulation results illustrate the efficacy of the developed resilient control scheme in mitigating the effects of the replay attack and maintaining the expected performance of wind turbines.