基于编码策略的电网假数据注入攻击检测

Detection of False Data Injection Attacks in Power Grid Based on Coding Schemes

  • 摘要: 针对电网中存在的虚假数据注入攻击的检测问题,利用电网的直流线性和交流非线性模型,分别构建了基于编码策略的虚假数据攻击检测方法.对于直流线性模型,设计了数据驱动的编、解码方案,并按有无通信约束两种情形分别求解编码、解码矩阵的最优数据赋值.对于交流非线性模型,通过构建拉伸矩阵使得被攻击的冗余观测产生较大的检测残差,并由此提出相应的编码、解码策略,给出了解码矩阵的选取条件.最后,在IEEE-14节点系统中使用实际负荷数据分别验证了所提方法的有效性.

     

    Abstract: To solve the problem of the detection of false data injection attacks in power grid, we propose coding schemes to counter such attacks based on the DC linear and AC nonlinear models of power grid system, respectively. For the DC linear model, we design a data-driven encoding and decoding scheme, and provide the optimal data assignment on the encoding and decoding matrices according to the conditions whether there are communication constraints. For the AC nonlinear model, we construct a stretching matrix to make the attacked redundant measurements produce large detection residues. Then, the corresponding encoding and decoding schemes are put forward, and the conditions for the selection of the decoding matrix are also proposed. Finally, we utilize the real world load data in IEEE-14 bus system to verify the effectiveness of the proposed methods for DC linear and AC nonlinear models, respectively.

     

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