Prediction of electrical power quality disturbances using state estimation techniques

This paper gives an overview of an alternative methodology for fault and disturbance analysis prediction. The work describes how adapting a powerful simulated power system tool to allow for the prediction of electrical power quality disturbance levels in various locations through the distribution network. The approach presented in this paper is based on generating a set number of disturbances by utilizing the data of power quality measurements in specific locations where actual power quality meters are installed. The constructed database system is considered as an initial step for obtaining accurate state estimation and prediction for unknown status of specific locations in the distribution network.