基于LoRa无线技术的配电网故障自动化识别方法  

Automatic Fault Identification Method of Distribution Network Based on LoRa Wireless Technology

作　　者：陈芳 CHEN Fang(Meizhou Power Supply Bureau of Guangdong Power Grid Co.,Ltd.,Meizhou 514021,China)

机构地区：[1]广东电网有限责任公司梅州供电局,广东梅州514021

出　　处：《通信电源技术》2022年第18期71-73,76,共4页Telecom Power Technology

摘　　要：传统的配电网故障自动化识别方法通过构建分层识别模型,实现对设备故障区间的锁定以及故障类型的判定,由于对设备故障特征的提取程度较低,导致识别效果较差。对此,提出基于LoRa无线技术的配电网故障自动化识别方法。对电气设备故障信号进行提取,获得信号稳态分量,并将故障区间的定位结果通过LoRa无线技术进行传递,帮助判断具体故障类型。在实验中,对提出的方法进行了识别精度的验证。经实验结果分析表明,采用提出的方法对配电网故障进行自动化识别,故障定位结果与实际故障区间的拟合程度较高,具备较高的识别精度。The traditional automatic fault identification method of distribution network realizes the locking of equipment fault zone and the judgment of fault type by building a hierarchical identification model.Due to the low degree of extraction of equipment fault features,the recognition effect is poor.In this regard,an automatic fault identification method for distribution network based on LoRa wireless technology is proposed.The fault signal of electrical equipment is extracted to obtain the steady component of the signal,and the location result of the fault zone is transmitted through LoRa wireless technology to help judge the specific fault type.In the experiment,the identification accuracy of the proposed method is verified.The analysis of experimental results shows that the proposed method can automatically identify the fault of distribution network,and the fault location result has a high degree of fitting with the actual fault interval,with a high recognition accuracy.

关 键 词：配电网设备 故障自动化识别 LoRa无线技术 故障波形 

分 类 号：TM76[电气工程—电力系统及自动化]