Robust networked power system load frequency control against hybrid cyber attack

Modern network and communication technologies are essential for the implementation and operation of load frequency control (LFC) systems. The measurements of crucial LFC system parameters will be compromised by attackers, rendering data received by the defence inaccurate and causing frequency fluctuations or even system collapse. To detect the potential attack on measured data and keep the LFC performance, an adaptive event-triggered scheme with fractional order global sliding mode control scheme is proposed in this paper. Furthermore, Markov theory is employed for the modelling process with energy storage to present a multi-area LFC power system considering renewable energy and hybrid cyber attacks. Stability and stabilisation criteria are built by employing improved Lyapunov stability theory and second-order Bessel-Legendre inequality. Finally, a two-area LFC system under hybrid cyber attacks and a modified IEEE 39-bus New England test power system with 3 wind farms are simulated to explore the efficacy of the proposed method.