Binary Tree Algorithm-based Fault Location Method for Tripping in Ultra-high Voltage Substations

Abstract

Abstract The current conventional method for fault location in substations involves using a mathematical model to convert the problem into a parameter identification problem. However, this approach often yields poor results due to the lack of characterization of fault features. To address this, a new fault location method for tripping faults in Extra High Voltage (EHV) substations is proposed. This method utilizes a binary tree algorithm to construct a fault binary tree and encode the nodes to accurately characterize the fault characteristics. Using this information, a fault location model is developed. Experimental verification confirms the effectiveness of the proposed method, with analysis showing its ability to successfully locate tripping faults in EHV substations with high convergence and superior accuracy.