基于最大熵阈值分割的配网继电保护二次回路故障识别研究  

Research on Fault Identification of Secondary Circuits in Distribution Network Relay Protection Based on Maximum Entropy Threshold Segmentation

作　　者：杨福娜 Yang Funa(State Grid Shandong Electric Power Co.,Yantai Power Supply Co.,Yantai 264001,China)

机构地区：[1]国网山东省电力公司烟台供电公司,烟台264001

出　　处：《办公自动化》2024年第20期14-16,共3页Office Informatization

摘　　要：文章开发一种基于最大熵阈值分割技术的配网继电保护二次回路故障识别方法。通过数据采集与预处理,确保故障数据准确、可用。基于提取特征构建故障识别模型,快速、准确地对配网继电保护二次回路中的各种故障进行分类和识别。结果表明,该方法在故障识别的准确率和响应速度上均优于传统方法,为配网继电保护二次回路的故障诊断提供新的技术手段和理论支持。The paper develops a fault identification method for the secondary circuits of distribution network relay protection based on maximum entropy threshold segmentation technique.Through data acquisition and preprocessing ensure that the fault data is accurate and available.Based on extracted features,a fault identification model is built to classify and identify faults in secondary circuits of relay protection in distribution network quickly and accurately.The results demonstrate that the proposed method outperforms traditional methods in terms of fault identification accuracy and response speed,providing a new technical approach and theoretical support for the fault diagnosis of secondary circuits in distribution network relay protection.

关 键 词：配网继电保护 二次回路故障 最大熵阈值分割 故障特征提取 

分 类 号：TP277.3[自动化与计算机技术—检测技术与自动化装置] TM77[自动化与计算机技术—控制科学与工程]