Transient Power Disturbance Detection Based on Image Edge Detection Theory
Yigang He · Journal of Hunan University · 2008
By applying digital image edge detection theory,this paper presented a new method for transient power disturbance detection based on mathematical morphology.The different characteristics between normal power signals and the signals under disturbing conditions were compared,and the signal singular points,which are caused by the signal step change at the disturbing moment,were detected by image edge detecting operator.In order to reduce the impact of noises and the signal ramp change under normal conditions,some useful means were employed,such as morphological filtering,optimal decision of sampling rate and structure element length.As a result,the detecting sensitivity is improved greatly.Detecting simulations of common transient power disturbance were performed,and the simulation results verify the outstanding features of the method: easy implementation,less computing complexity,high time resolution and low demand of hardware.