科技创新与应用2024，Vol.14Issue(23)：32-35,4.DOI:10.19981/j.CN23-1581/G3.2024.23.008
电力电子技术在智能电力系统检测中的应用
摘要
Abstract
With the in-depth development of power electronics technology,the intelligent degree of power system is increasing.Aiming at the problem of transformer fault detection in the transmission and distribution link of intelligent power system,an intelligent detection method based on neural network is proposed.The echo state network is used as the basic framework of the neural network,which gives full play to the advantages of a large number of neurons in the hidden layer,strong learning ability and strong nonlinear approximation ability to enhance the accuracy of the detection results.In the input part,ten kinds of fault data such as leakage fault,oil level fault,flashover fault,foul fault,heat dissipation fault,temperature difference fault,switch aging fault,winding leakage fault,core insulation fault and winding deformation fault are configured to train the neural network.At the same time,the client-side and server-side design of the intelligent algorithm bearer software is completed,and the client-side data acquisition system is configured.The experimental results show that the neural network achieves better convergence when 1000 data are used as training sets.Using this as a tool for fault detection,98.1%accuracy of fault detection is obtained.关键词
电力电子技术/电力系统/智能化/故障检测/神经网络Key words
power electronics technology/power system/intelligence/fault detection/neural network分类
信息技术与安全科学引用本文复制引用
侯力媛..电力电子技术在智能电力系统检测中的应用[J].科技创新与应用,2024,14(23):32-35,4.基金项目
兰州博文科技学院校级科研项目(2023BWJX018) （2023BWJX018）
