Method for detecting hidden network attack in electric vehicle load frequency control system

The invention relates to a method for detecting hidden network attacks in an electric vehicle load frequency control system, which comprises the following steps of: analyzing load frequency control of a power system in which an electric vehicle participates, which is influenced by load disturbance and measurement noise, and establishing a state equation of a dynamic model; analyzing an attack mechanism and a hidden characteristic of a hidden network attack, and establishing a model state equation of the hidden network attack in combination with the dynamic model; designing an H infinite sliding mode observer, and calculating sufficient conditions for asymptotic stability of the SMO error system; and designing a bilateral time-varying coding mechanism to encrypt a transmission signal, observing residual anomaly, and detecting hidden network attacks. According to the method for detecting the hidden network attack in the electric vehicle load frequency control system, the defect that the residual error abnormal