Detection of voltage sag based on Kalman filter and short time self-correlation transfer
LV Zheng-yu · Journal of Mechanical & Electrical Engineering · 2010
In order to detect voltage sag in power system which contains plenty of harmonics,the Kalman filter and short time self-correlation transfer were combined.The differential signal was gotten between sample value and that a period ago,then the differential signal was coped with the short time self-correlation transfer algorithm,which helps detect the voltage disturbances.After that estimating the amplitude and phase with Kalman filter,the coefficient matrix K off-line was calculated,which reducing the calculated capacity remarkably.Using the const K when the state is steady,it not only prevent from filter instability,but also reduce the demand of storage space.The stimulation results show its validity and feasibility.