Event-triggered security adaptive control of uncertain multi-area power systems with cyber attacks

This paper is concerned with the event-triggered security adaptive control of uncertain multi-area power systems. Adaptive laws are presented to estimate the unknown bounds of uncertainties, disturbances and cyber-attacks. With the help of tanh function, two event-triggered mechanisms are proposed in terms of integral state feedback controllers and adaptive controllers. With the help of Simpson rule and the Lyapunov stability theory, sufficient conditions are built in terms of linear matrix inequalities to ensure the mean-square boundedness of the resultant closed-loop systems. Finally, the validity of proposed schemes is verified by a simulation.