Single Phase to Ground Fault Line Selection in Distribution Network Based on EMD Clustering Algorithm

The EMD clustering algorithm based single-phase grounding fault line selection in distribution networks is an effective method to solve the problem of single-phase grounding fault line selection in distribution networks. This method uses empirical mode decomposition (EMD) algorithm to decompose the fault signal, extract the features of the fault signal, classify and analyze the features using clustering algorithm, and ultimately determine the location of the fault occurrence, providing reliable basis for fault processing. The main advantage of this method is that it can reduce the influence between signal features, reduce the impact of data noise, and improve the accuracy and accuracy of fault detection. In the experiment of this method, an IEEE33 node distribution network model was selected for simulation experiments. In the experimental results, this method has very high accuracy in detecting and locating single-phase grounding faults, and can also effectively distinguish different types of faults, improving the efficiency of fault handling. In addition, this method can also analyze the characteristics of fault signals, providing corresponding reference opinions for subsequent maintenance of the line. In summary, the EMD clustering algorithm based single-phase grounding fault line selection in distribution networks is a very effective method for detecting and locating faults, which can improve the accuracy and accuracy of fault detection in distribution networks and provide strong technical support for maintenance and management of distribution networks.