Estrategia de detección e identificación de fallas eléctricas para sistemas de distribución eléctrica con generación distribuida basado en redes neuronales artificiales

Abstract

With population growth, electric power distribution companies must provide quality services to each user. This leads to considerable distribution network growth, which is not exempt from infrastructure damage or failures. Additionally, traditional fault detection systems generate false positives by implementing distributed generation. In this sense, one of the main challenges for distribution companies is the detection of these faults in the network together with distributed generation systems. This research shows a strategy for detecting and identifying electrical faults in distribution systems with distributed generation. The proposed strategy is based on using artificial intelligence algorithms based on Artificial Neural Networks. The validation of the method was carried out using Simulink Matlab/Simulink software, which allowed for obtaining patterns for fault identification.