A New Method for Measurement and Classification of Power Quality Disturbance
Liu Lin · Proceedings of the CSEE · 2011
In order to supply accurate and reliable basis for the essential research and effective management of various power disturbance events,a new method for power disturbance events online monitoring and identifying was presented in this paper based on time frequency transform(TFT) and improved self-organizing map(ISOM).TFT has adaptive complex band-pass filtering capability and decouples the center and width of frequency window.The frequency window width can be flexibly adjusted from the constraints of central frequency.The interference between adjacent frequency components can be effectively inhibited by adjusting the scale parameter to set the appropriate frequency domain window and also it has a good dynamic response speed.TFT provides clear physical meaning,also specific index of the instantaneous model for multiple power disturbance events analyse and identification.According to the eigenvector extracted by TFT,ISOM can accurately identify single or multiple power quality events existing in power disturbance waveforms,and has intuitionistic expression of their severity,and is also able to reflect multiple power quality event developments in their respective track dynamicly.Simulation results demonstrated the effectiveness and superiority of this method.