Power System Faults Analysis, Detection, and Localization in Underground Distribution and Transmission Networks by Deploying AI-Based Matlab Model/Simulink

EasyChair Preprint 11926

Abstract

This paper models and develops a fault detection and location scheme for underground transmission and distribution lines using MATLAB/Simulink. The proposed method employs AI-based wavelet transform for fault detection and location, which is a widely used technique in power system analysis. The proposed scheme was implemented and tested on an underground transmission line model using MATLAB/Simulink 2019a. The simulation results have demonstrated the effectiveness of the developed fault detection and location scheme in accurately detecting and locating the fault on the distribution and transmission line. The developed method can help power system operators quickly locate the fault and take necessary actions to restore the power supply. Overall, this paper provides a useful tool for improving the reliability and efficiency of power transmission and distribution systems

Keyphrases: Electrical Distribution Lines, Electrical Underground Transmission Lines, MATLAB/Simulink 2019a, Power system faults, fault detection

@booklet{EasyChair:11926,
  author    = {Boniface Ntambara and Hortense Ingabire},
  title     = {Power System Faults Analysis, Detection, and Localization in Underground Distribution and Transmission Networks by Deploying AI-Based Matlab Model/Simulink},
  howpublished = {EasyChair Preprint 11926},
  year      = {EasyChair, 2024}}