Abstract
Due to software and bidirectional nature of smart grid communication network, the grid infrastructure, flow and measurements are vulnerable to cyber attacks such as false data injection attacks. These attacks can impact on the grid operations, privacy and security loss of personal information. In order to achieve the reliable and stable grid operation, the smart grid attack-resilient state estimation algorithm is proposed. Using the nodal voltage analysis and Kirchhoffs Laws, the system equations are written into user-friendly state-space framework. After locally process the grid information, a set of observation information is transmitted to the power control center over an unreliable communication channel where attack occurs. Using the property of semi-definite matrix and Lyapunov composition function, an innovative and intuitive attack-resilient dynamic estimation algorithm is developed. The numerical simulation has illustrated that the proposed method can achieve better estimation performance in terms of mean squared error, accuracy, and convergence rate.