首页|基于卷积神经网络的智能变电站改扩建工程母线保护SCD文件智能校核技术

基于卷积神经网络的智能变电站改扩建工程母线保护SCD文件智能校核技术

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为了降低智能变电站改扩建工程实施过程中母线保护变电站配置描述(SCD)文件修改的错误率,提出一种基于卷积神经网络的智能变电站改扩建工程母线保护SCD文件智能校核技术.对母线保护与不同类型间隔设备的虚端子交互进行分析.介绍基于卷积神经网络的SCD文件智能校核技术实现过程,并给出不同类型间隔不同施工方式情况下训练得到的9类神经网络结构参数.以主变扩建SCD校核神经网络为例,对训练得到的网络参数进行分析,验证该方法给出的神经网络结构参数及学习参数的优越性及合理性.
The Intelligent Verification Technology of Bus Protection SCD File in Intelligent Substation Reconstruction and Expansion Project Based on Convolutional Neural Network
In order to reduce the error rate of bus protection substation configuration description(SCD)file modification during the implementation of intelligent substation reconstruction and expansion project,an intelligent verification technology of bus protection SCD file in intelligent substation reconstruction and expansion project based on convolutional neural network is pro-posed.The interaction between bus protection and virtual terminals of different types of interval devices are analyzed.It focu-ses on the realization process of SCD file intelligent verification technology based on convolutional neural network,and gives 9 kinds of neural network structure parameters trained under different types of intervals and different construction methods.Taken the main transformer extension SCD check neural network as an example,the trained network parameters are analyzed to verify the superiority and rationality of the neural network structure parameters and learning parameters given by this method.

intelligent substationreconstruction and expansion projectSCD fileconvolutional neural networkintelligent verification

曹海欧、崔玉、宋亮亮、杜云龙、易新、黄翔

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国网江苏省电力有限公司,江苏,南京 210024

国网江苏省电力有限公司电力科学研究院,江苏,南京 211103

智能变电站 改扩建工程 变电站配置描述文件 卷积神经网络 智能校核

2024

微型电脑应用
上海市微型电脑应用学会

微型电脑应用

CSTPCD
影响因子:0.359
ISSN:1007-757X
年,卷(期):2024.40(11)