科技创新与应用2025，Vol.15Issue(13)：24-28,5.DOI:10.19981/j.CN23-1581/G3.2025.13.006
基于深度学习的配电网故障智能辨识模型研究
摘要
Abstract
With the advancement of power system technology and equipment upgrades,the accumulation of power operation data has become more and more regular.Due to the limitations of traditional neural networks,fault samples cannot be identified well.To this end,an intelligent identification model for distribution network faults based on deep learning is proposed.First,the neural network architecture is determined;then the model is trained by combining the corresponding parameter optimization algorithm;finally,the deep learning model for distribution network fault identification can be obtained.Through simulation verification,the verification results prove the effectiveness of the proposed method.关键词
神经元网络/配电网/深度学习模型/参数优化算法/故障智能辨识Key words
neural network/distribution network/deep learning model/parameter optimization algorithm/intelligent fault identification分类
计算机与自动化引用本文复制引用
余凌,夏凡,方仲超,朱逸,郭海东,童世兵..基于深度学习的配电网故障智能辨识模型研究[J].科技创新与应用,2025,15(13):24-28,5.基金项目
中国华电集团科研基金(CATL-ND-ESS-2024030046577) （CATL-ND-ESS-2024030046577）
