基于深度学习算法的配网设备状态智能巡检方法

Intelligent Inspection Method of Distribution Network Equipment Status Based on Deep Learning Algorithm

为提升配网设备状态智能巡检效果,提出基于深度学习算法的配网设备状态智能巡检方法。首先利用采集配网设备状态运行信息,提取配网设备状态特征,并采用T-分布邻域嵌入算法对特征进行降维处理,减少特征维数,然后采用深度学习算法对特征进行训练和建模,构建配网设备状态智能巡检模型,最后进行配网设备状态智能巡检仿真测试。结果表明,所提方法能够高精度进行各种配网设备状态智能巡检,而且配网设备状态智能巡检时间短,获得理想的配网设备状态智能巡检结果。

In order to improve the effect of intelligent inspection of distribution network equipment status,an intelligent inspection method of distribution network equipment status based on deep learning algorithm is proposed.First,the distribution network equipment state features are extracted by collecting the operation information of the distribution network equipment state,and the t-distribution neighborhood embedding algorithm is used to reduce the dimension of the features to reduce the dimension of the features.Then,the deep learning algorithm is used to train and model the features,and the intelligent patrol model of the distribution network equipment state is constructed.Finally,the intelligent patrol simulation test of the distribution network equipment state is carried out,the method in this paper can carry out intelligent inspection of various distribution network equipment states with high accuracy,and the intelligent inspection time of distribution network equipment states is short,and ideal intelligent inspection results of distribution network equipment states are obtained.