Study on the application of visualization modeling based onrelay protection device and secondary circuit of substation
In order to further improve the management effectiveness of the secondary circuit of substation relay protection by staff,this study aims to explore the application of visualization technology combined with probabilistic neural networks in fault location of the secondary circuit of substations.The study first analyzed the operational data of the substation and designed a visualization structure for the secondary circuit equipment using visualization technology.Then,a probabilistic neural network was used to accurately locate faults in secondary equipment,and a fault equipment localization model was constructed.The results show that the fault localization model constructed with probabilistic neural network has better performance,and the fault localization accuracy of the model is as high as 0.98,and the localization error is within 0.2.In addition,the secondary loop system under this model can get 93.2 expert satis-faction and 95.7 user satisfaction.In conclusion,the fault localization model built in this research can provide new reference value for substation visualization management.