面向混合网络-物理攻击的延时容忍型韧性模型预测控制提升微电网负荷频率稳定性

Ensuring frequency stability in microgrids (MGs) is becoming increasingly challenging due to the openness of networked control systems, the volatility of renewable energy sources, and the growing threat of hybrid cyber-physical attacks. This paper presents a delay-tolerant resilient model predictive control (MPC) approach for load frequency stability in MGs. First, a comprehensive MG load frequency control (LFC) model is developed, explicitly accounting for communication time delays. A control strategy that combines resilient MPC with delay compensation is proposed to enhance system resilience and dynamic performance. To address hybrid cyber-physical attacks, a resilient MPC-based output feedback controller is designed based on a hybrid $H_{2}/H_{\infty }$ performance index, in which the $H_{2}$ criterion is optimized online under a guaranteed $H_{\infty }$ performance bound, ensuring robust frequency regulation. Feasibility and safety of the controller are guaranteed by reformulating the non-convex constraints via cone complementary linearization, and solving the controller using linear matrix inequality techniques. Stability and feasibility analyses of the algorithm are also provided. Finally, a series of comparative simulations under various attack scenarios and perturbation conditions are conducted to validate the robustness of the proposed method and demonstrate its effectiveness in enhancing the resilience of the MG system.