High Impedance Grounding Fault Detection for Distribution Network Based on Mathematical Morphology and Walsh Transform
The high impedance grounding fault(HIGF)often occurs in the distribution network.Because the characteristics of the one-dimensional zero sequence current signal of the fault are vague and weak,it is easy to be confused with inrush current(IC)and capacitor switching(CS).Therefore,this paper proposes an algorithm based on phase space reconstruction(PSR),mathematical morphology(MM)and Walsh transform(WT)to realize the recognition of HIGF.Firstly,the paper uses the joint parameter selection algorithm to determine the delay time and embedding dimension,and the coordinate reconstruction method to reconstruct the phase space of the simulated zero sequence current signal to obtain the reconstructed trajectory map,so as to explore the characteristics that can't be observed in one-dimensional space.Then,it uses MM to denoise the reconstructed images and extract the edge features.Then,the paper adopts a fusion MM and WT algorithm to extract the reconstructed image features.Finally,the recognition of HIGF and other disturbance events is realized by calculating the pulse factor and symmetry factor of the extracted image features.The feasibility of the algorithm is further verified by simulation on the platform RSCAD/RTDS.
distribution networkhigh impedance grounding faultphase space reconstructionmathematical morphologyWalsh transform
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