An increased energy demand, and environmental pressure to accommodate higher levels of renewable energy and flexible loads like electric vehicles have led to numerous smart transformations in the modern power systems. These transformations make the cyber-physical power system highly susceptible to cyber-adversaries targeting its numerous operations. In this work, a novel black box adversarial attack strategy is proposed targeting the AC state estimation operation of an unknown power system using historical data. Specifically, false data is injected into the measurements obtained from a small subset of the power system components which leads to significant deviations in the state estimates. Experiments carried out on the IEEE 39 bus and 118 bus test systems make it evident that the proposed strategy, called DeeBBAA, can evade numerous conventional and state-of-the-art attack detection mechanisms with very high probability.

翻译：日益增长的能源需求以及为了容纳更高比例可再生能源和电动汽车等柔性负荷所面临的环境压力，已推动现代电力系统经历众多智能化变革。这些变革使得信息物理电力系统极易遭受针对其众多运行环节的网络攻击。本文提出一种新颖的黑盒对抗攻击策略，利用历史数据对未知电力系统的交流状态估计运行环节实施攻击。具体而言，通过向从电力系统小部分组件获取的量测数据中注入虚假数据，导致状态估计结果出现显著偏差。在IEEE 39节点和118节点测试系统上进行的实验表明，所提出的名为DeeBBAA的策略能够以极高概率规避多种常规及最新型的攻击检测机制。