Review of Advancements in Forecasting-aided State Estimation based on Kalman Filter Approach for Voltage Profile of Power Systems

Abstract

Forecasting-aided state estimation (FASE) is per-formed for power system to help in monitoring and control of the system. The estimation is carried out employing the data from remote terminal units along with that from phasor measurement units. So far for FASE, it is assumed that the variations in the system variables, for instance load demand variations at a bus are slow. Quick variations in the states of an electric grid are hence not included for the study. To predict the states at a time instant in between receiving the two measurement datasets from the measurement system, a state forecasting approach is being used. The filtering step is carried out with the help of a Kalman filter approach. This aids in the estimation of power system states during periods when field data are unavailable. © 2022 IEEE.