Grid false data injection attacks detection based on coding strategy

Summary: Aiming at the detection of false data injection attacks existing in the power grid, using the DC linear and AC nonlinear models of the power grid, aFalse data attack detection method for coding strategy.For the DC linear model, a data-drivenAccording to the encoding and decoding schemes, and according to the two situations with or without communication constraints, the optimal data assignment of the encoding and decoding matrices are solved respectively..For the AC nonlinear model, a stretched matrix is ​​constructed to make the attacked redundant observations generate larger detection residuals, and the corresponding coding and decoding strategies are proposed accordingly, and the decoding is given.Matrix selection criteria.Finally, in IEEE-14The effectiveness of the proposed method was verified by the actual load data in the node system..

Keywords: False data injection attack   State estimation