Research on Efficient Detection Methods for False Data Injection in Smart Grid

Smart grid is built by the combination of information technology and electric technology based on traditional power grid, and achieves the interaction between power generation and power utilization. However, new security issues appears together with the new cyber-physical power system, and false data injection is one of the attack means, which is impressive for it´s difficult from being detected. In this paper, the principle of false data injection is stated, and proposed two distributed detect algorithms. One is DOID (Distributed Observable Island Detection algorithm), which is based on observable islands theory. If a line connected by two nodes is pass through different observable islands, false data injection detected in this line. The other algorithm is DTAD (Distributed Time Approaching Detection algorithm). For one measuring point, if the state estimation values vary a lot, then attack detected. The simulation shows our methods can detect false data injection efficiently with low cost.