An extended Kalman filtering approach for detection and analysis of voltage dips in power systems

This paper proposes a new method based on the use of an extended Kalman filter for the detection and analysis of voltage dips in power systems. The paper describes the model used to enable the most accurate representation of the system and the selection of the parameters to ensure optimal filter performance. The results obtained using this method are presented both for simulated and for real voltage dips and are compared with the results obtained using the rms method proposed in the power quality standards in order to demonstrate the improved performance of this new method in the estimation of the time instant of the beginning and end of a voltage dip as well as in the estimation of the magnitude and phase angle of voltage supply during the event.