基于AI的电力继电保护故障检测技术研究  

Research on the fault detection technology of power relay protection based on AI

作　　者：沈婉演 SHEN Wanyan(State Energy Changzhou Power Generation Co.,Ltd.,Changzhou 213000,China)

机构地区：[1]国能常州发电有限公司,江苏常州213000

出　　处：《中国高新科技》2025年第3期71-73,共3页

摘　　要：文章针对电力继电保护故障检测的需求,提出了一种基于深度学习的智能故障检测方法。该方法通过数据预处理、特征提取,结合LSTM和CNN构建混合深度学习模型,并在大规模故障样本集上进行了训练与优化。实验结果表明,所提方法在多种故障类型检测中展现出较高的准确率和效率。This article proposes an intelligent fault detection method based on deep learning to meet the needs of power relay protection fault detection.This method combines data preprocessing,feature extraction,LSTM,and CNN to construct a hybrid deep learning model,which is trained and optimized on a large-scale fault sample set.The experimental results show that the proposed method exhibits high accuracy and efficiency in detecting various types of faults.

关 键 词：深度学习 继电保护 故障检测 

分 类 号：TM77[电气工程—电力系统及自动化]