Energy Reports (May 2023)
An optimized dynamic state estimation method for voltage source converter under cyber-attacks
Abstract
The measured data of the power system with voltage source converter (VSC) depending on data communication network, are monitored and analyzed by Dynamic state estimation (DSE), which can provide predictive data to control system. However, information communication technology may contain unknown risks and be vulnerable to cyber-attacks, resulting in inaccurate predictions of DSE. For example, the communication network of wide area measurement system (WAMS) will provide wrong data to DSE after being attacked. Thus, in this paper, an optimized dynamic state estimation method for voltage source converter considering cyber-attack is proposed. First, in order to consider more dynamic characteristics of VSC and provide a more complete model for DSE, the dynamic model of VSC which is affected by cyber-attacks is derived. Then, base on the model which is linearized around an equilibrium point, the Kalman filter considering anomalous events caused by false data injection attack (FDIA) is improved to obtain the optimal state estimated value. Finally, to verify the effectiveness of the proposed method and the accuracy of prediction values, a simulation has been carried out on a single-VSC infinite-bus power system. The simulation results show that the proposed method can predict dynamic state values effectively and the Root Mean Squared Error (RMSE) is around 4.6×10−5in the power system with VSC considering cyber-attack.
