Power system state estimation based on Iterative Extended Kalman Filtering and bad data detection using normalized residual test

This paper proposed an enhanced real-time state estimation using Iterative Extended Kaiman Filtering (IEKF). The IEKF estimated state variables based on past state variables. Largest Normalized Residual Test (LNRT) was integrated with IEKF for bad data detection. A comparison with the conventional Weighted Least Squares (WLS) was also investigated using the IEEE 14 bus test system simulated in MATLAB. Based on the results, the merits and limitations of IEKF were summarized.