Power system state estimation is subject to false data injection (FDI) attacks, because of the integration of advanced computation and communication techniques in power systems. By coordinately tampering the readings of meters, FDI attacks can bypass bad data detectors and stealthily mislead the results of state estimation. In this paper, we propose a joint admittance perturbation and meter protection (JAPMP) strategy to enhance the resilience of state estimation under stealthy FDI attacks, i.e., recover system states from compromised measurements. State recovery conditions in JAPMP are derived, which indicate that the integration of admittance perturbation and meter protection can significantly improve the recoverability of system states. Based on the state recovery conditions, a JAPMP optimization problem is formulated and solved by decomposing the joint optimization problem into two subproblems. Then, a heuristic algorithm is designed, which can greatly reduce the computational complexity in solving the combinatorial problem. Based on the simulation results on a 6-bus, the IEEE 14-bus, the IEEE 57-bus and the IEEE 118-bus test systems, the protection cost and performance of state recovery under stealthy FDI attacks are evaluated.

中文翻译：

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用于减轻针对电力系统状态估计的隐形 FDI 攻击的联合导纳扰动和仪表保护

由于电力系统中集成了先进的计算和通信技术，电力系统状态估计容易受到虚假数据注入 (FDI) 攻击。通过协同篡改电表读数，FDI 攻击可以绕过不良数据检测器，隐蔽地误导状态估计的结果。在本文中，我们提出了一种联合导纳扰动和仪表保护 (JAPMP) 策略，以增强隐形 FDI 攻击下状态估计的弹性，即从受损测量中恢复系统状态。推导了JAPMP中的状态恢复条件，表明导纳扰动和仪表保护的集成可以显着提高系统状态的可恢复性。根据状态恢复条件，通过将联合优化问题分解为两个子问题来制定和解决 JAPMP 优化问题。然后，设计了一种启发式算法，可以大大降低求解组合问题的计算复杂度。基于6总线、IEEE 14总线、IEEE 57总线和IEEE 118总线测试系统的仿真结果，评估了隐身FDI攻击下状态恢复的保护成本和性能。