This article is concerned with the load frequency control (LFC) for the multi-area power system (MAPS) in the presence of cyber-attacks and disturbances. A resilient model predictive control (RMPC) strategy combined with the mixed $H_{2} /H_{\infty } $ performance index and dynamic event-triggered mechanism (DETM) is developed by using the cone complementarity linearization algorithm and the linear matrix inequality technique. With the application of $H_{2} /H_{\infty } $ performance index, the resilience of the controlled MAPS is achieved and the cyber-attacks launched on the MAPS can be dealt with effectively. The goal of the DETM is to enhance the communication efficiency by interrupting the communication of the MAPS, the triggering condition of which utilizes the internal dynamic variable. Moreover, rigorous derivations on the recursive feasibility of the RMPC are given. Finally, a MAPS is given to illustrate the validity of the presented control strategy.

中文翻译：

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网络攻击下基于动态事件的模型预测负载频率控制

本文涉及在存在网络攻击和干扰的情况下，多区域电力系统（MAPS）的负载频率控制（LFC）。结合了混合的弹性模型预测控制（RMPC）策略 $ H_ {2} / H _ {\ infty} $ 通过使用锥互补线性化算法和线性矩阵不等式技术，开发了性能指标和动态事件触发机制（DETM）。随着应用 $ H_ {2} / H _ {\ infty} $ 性能指标，可以实现受控的MAPS的弹性，并且可以有效地处理在MAPS上发起的网络攻击。DETM的目的是通过中断MAPS的通信来提高通信效率，MAPS的触发条件是利用内部动态变量。此外，给出了RMPC递归可行性的严格推导。最后，给出了MAPS以说明所提出的控制策略的有效性。