摘要：Voltage sag event is one of the most important power quality disturbances in power systems. Itcan have affect on voltage quality and sensitive equipment in power systems. Detecting voltagesag events in power systems is a vital role in operating systems; therefore, this paper proposesan algorithm based on extended Kalman filter (EKF) for characterizing and detecting theparameters of voltage sag events accurately. A status-space modeling of voltage sag signals isdefined to model voltage sag signal according to status-space modeling of EKF. The parametersof voltage sag events are estimated using the proposed method including voltage magnitude,estimation error, starting and ending times, duration time of the event. Matlab software is usedto generate database of voltage sag waveforms modeled by a mathematical equation and then thewaveforms are used to evaluate the proposed method. The simulation results of the proposedmethod are also compared with the simulation results of the root mean square (RMS) method toconfirm the effectiveness of the proposed method in this paper.
关键词：Voltage sag; Kalman filter; Gaussian noise; power quality disturbances; power system.
