Fast reconfiguration method of low-carbon distribution network based on convolutional neural network

Fast reconfiguration method of low-carbon distribution network based on convolutional neural network

The existing meta-heuristic distribution network reconfiguration (DNR) algorithm has excellent optimization ability through iteration. However, it is difficult to realize the large-scale fast calculation and online real-time response of DNR solution. In order to improve the security and low-carbon e...

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Bibliographic Details
Main Authors: Yixiao Yu, Ming Yang, Yumin Zhang, Pingfeng Ye, Xingquan Ji, Jingrui Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Energy Research
Subjects:
convolutional neural network (CNN)
rapid reconfiguration of distribution network
load mode
mixed training
data driven
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2023.1102949/full

Internet

https://www.frontiersin.org/articles/10.3389/fenrg.2023.1102949/full

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