A tube model predictive control based cyber attack-resilient optimal voltage control strategy in wind farms

Optimal voltage controls have been widely applied in wind farms to maintain the voltage stability of power grids. In order to achieve the optimal voltage operation, authentic grid information is widely needed in the sensing and actuating process. However, this may induce the system vulnerable to malicious cyber attacks. To this end, a tube model predictive control-based cyber attack-resilient optimal voltage control method is proposed to achieve voltage stability against malicious cyber attacks. The proposed method consists of two cascaded model predictive controllers (MPC), which outperforms other peer control methods in effective alleviation of the adverse effects from cyber attacks on actuators and sensors of the system. Finally, the efficiency of the proposed method is evaluated in sensor and actuator cyber attack cases based on a modified IEEE 14 buses system and IEEE 118 buses system.