电力建设2024，Vol.45Issue(5)：48-58,11.DOI:10.12204/j.issn.1000-7229.2024.05.006
基于CNN-AE-MAML的低压配电网自适应分类方法
Adaptive Classification Method of Low Voltage Distribution Network Based on CNN-AE-MAML
摘要
Abstract
The classification of low-voltage distribution network is conducive to improving the efficiency of formulating economic operation management measures and new energy planning operation schemes of low-voltage distribution network.With the continuous access of various new sources of energy,charging piles and other new sources,the original load characteristics of the low-voltage distribution network have changed,which on the one hand leads to complex load characteristics of the distribution network,and on the other hand leads to less available load characteristic data after the change,which brings challenges to the classification of the distribution network.Aiming at the above challenges,this paper proposes an adaptive classification method of low-voltage distribution network based on CNN-AE-MAML.Firstly,convolutional neural network auto encoder(CNN-AE)is used to extract the dimensionality reduction features of the distribution load of low-voltage distribution network and the photovoltaic power generation.Spectral clustering(SC)was used to classify low-voltage distribution networks.Then,the distribution network type identification method based on softmax is constructed to identify the distribution network type by using the dimensional-reduction features of the actual data of low-voltage distribution network.In addition,the model agnostic meta-learning(MAML)method is used to train the CNN-AE feature extraction model,so that the CNN-AE model can adaptively extract the new load features of the distribution network under a small amount of data,and finally achieve accurate and fast adaptive classification of the low-voltage distribution network.关键词
低压配电网/自适应分类/卷积自编码器/谱聚类/模型不可知元学习Key words
low-voltage distribution network/adaptive classification/convolutional autoencoder/spectral clustering/model-agnostic meta-learning分类
信息技术与安全科学引用本文复制引用
陈子靖,蒋金琦,赵健,杨德格,胡陈晨,张凯..基于CNN-AE-MAML的低压配电网自适应分类方法[J].电力建设,2024,45(5):48-58,11.基金项目
This work is supported by National Natural Science Foundation of China(No.51907114). 国家自然科学基金项目(51907114) （No.51907114）
