Optimized deep learning based single-phase broken fault type identification for active distribution networks

Single-phase broken faults occur frequently, affecting the reliability of distribution network. In order to effectively identify the fault type of single-phase broken fault, this paper proposes a new identification method, which is based on the combination of variational mode decomposition and stack...

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Bibliographic Details
Main Authors: Yan Wu, Xiaoli Meng, Shilei Guan, Xiaohui Song, Lingyun Gu, Feiyan Zhou, Jinjie Liu
Format: Article
Language:English
Published: Elsevier 2023-09-01
Series:Energy Reports
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484723006376