Distributed resilient multi-event cooperative triggered mechanism based discrete sliding-mode control for wind-integrated power systems under denial of service attacks

In wind-integrated power systems (WIPSs), denial of service (DoS) attacks bring about time delays and packages dropout in system data transmission, it may even deteriorate system performance. In order to maintain the reliability and safety of WIPSs, under the dynamical event triggered framework, a novel distributed resilient multi-event cooperative triggered scheme is derived to decrease the occupation of network channel. Further-more, considering the random load disturbance of WIPSs and wind speed fluctuation, the resilient triggered scheme based H infinity load frequency sliding-mode control strategy is proposed. Based on Lyapunov stability theory, the controller is obtained by solving linear matrix inequality. Compared with the traditional event triggered mechanism, the proposed distributed resilient multi-event cooperative triggered mechanism based sliding-mode controller provides stronger robustness, higher wind energy capture efficiency for WIPSs under DoS attacks. Meanwhile, the resilient triggered scheme improves the utilization efficiency of network resources. A four-area WIPSs is investigated and the numerical analysis shows the proposed strategy is feasibility and effectiveness.

Automated summary

In order to maintain the reliability and safety of wind-integrated power systems (WIPSs) and decrease the occupation of network channel, a novel distributed resilient multi-event cooperative triggered scheme is proposed. The resilient triggered scheme is based on H infinity load frequency sliding-mode control strategy which considers the random load disturbance and wind speed fluctuation in WIPSs. Compared with the traditional event triggered mechanism, the proposed mechanism provides stronger robustness and higher wind energy capture efficiency under denial of service attacks. Additionally, the resilient triggered scheme improves the utilization efficiency of network resources. The feasibility and effectiveness of the proposed strategy is validated through numerical analysis on a four-area WIPSs.