Research on power system fault location based on Intelligent Algorithm
Based on the defects of low prediction accuracy and large fault location error in current distribu-tion network fault monitoring and location,a power Internet of things fault monitoring system is proposed.The model is based on the symmetrical fault location method,which can use the fault sequence of positive sequence components to analyze the power system,so as to achieve high-precision fault location.Compared with VGG19,ResNet50,ResNet101 and other models,this model has the advantages of higher average ac-curacy of fault classification,the lowest computational overhead of the model,and the lowest fault location error.The simulation results further verify that the proposed model has better performance for distribution network fault detection and location.The model provides a reference for the intelligent management and de-velopment of power system.
smart griddistribution networkInternet of Thingsfault classificationfault location