This article mainly focuses on the attack location and defense of cyber-physical power systems under dynamic load altering attacks. Taking the smart grid as an example, first, the cyber-physical power system model under attack is established to provide conditions for attack detection. On this basis, an adaptive observer with $H_{\infty }$ performance is designed to realize detection and location through residual signal and attack estimation, respectively. Furthermore, a power redistribution strategy based on optimal economic scheduling is presented to realize attack defense by means of the observer data. Finally, theoretical analysis proves the feasibility of the algorithm, and simulation cases prove the effectiveness of attack location and defense strategies.

本文主要关注动态负载变化攻击下信息物理电力系统的攻击定位与防御。以智能电网为例，首先建立受攻击的信息物理电力系统模型，为攻击检测提供条件。在此基础上，自适应观测器$H_{\infty }$性能被设计为分别通过残差信号和攻击估计来实现检测和定位。此外，提出了一种基于最优经济调度的功率再分配策略，以利用观察者数据实现攻击防御。最后，理论分析证明了算法的可行性，仿真案例证明了攻击定位和防御策略的有效性。