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...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2023-09-01
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Series: | Energy Reports |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484723006376 |