基于多源信息融合的输电线路故障诊断研究  

Research on Fault Diagnosis of Transmission Line Based on Multi-source Information Fusion

作　　者：葛亚明 周陈斌 孟屹华 沈蛟骁 曹海欧 任旭超 GE Yaming;ZHOU Chenbin;MENG Yihua;SHEN Jiaoxiao;CAO Haiou;REN Xuchao(State Grid Jiangsu Electric Power Co.,Ltd.,Nanjing 210000,Jiangsu,China;Suzhou Power Supply Company of State Grid Jiangsu Electric Power Co.,Ltd.,Suzhou 215000,Jiangsu,China)

机构地区：[1]国网江苏省电力有限公司,江苏南京210000 [2]国网江苏省电力有限公司苏州供电分公司,江苏苏州215000

出　　处：《电气传动》2025年第4期72-81,共10页Electric Drive

基　　金：国家电网有限公司科技项目(J2023145)。

摘　　要：随着新型电力系统的加速建设,输电系统的规模和复杂性不断增加,而以多源数据作为驱动源、满足准确率与低耗时要求的输电线路故障诊断算法亟待研究。提出一种基于改进NRBO-XGBoost算法的多源信息融合输电线路故障诊断方案。首先,通过对线路两侧保护测量电气量和动作开关量的分析,解耦出区内外故障场景下时/频域差动电流和差动电压、暂态极性和动作信号的关联性特征;其次,将解耦出的多源故障特征向量输入至XGBoost串行学习算法,并同时引入NRBO算法对XGBoost的训练参数进行全局优化;最后,基于改进NRBO-XGBoost算法的辨识输出结果,获取完整的输电线路区内外故障诊断模型。在PSCAD/EMTDC中搭建了IEEE-30标准节点输电系统模型,通过对4种典型场景下的案例测试,结果表明所提出的多源信息融合算法能够满足线路故障诊断准确率99%的要求,在诊断速度上相较于传统智能算法也体现出了一定的优越性。With the accelerated construction of new power systems,the scale and complexity of transmission systems are constantly increasing.Therefore,it is urgent to study transmission line fault diagnosis algorithms that utilize multi-source data as driving sources and meet requirements for accuracy and low time consumption.A multisource information fusion transmission line fault diagnosis method based on the improved NRBO-XGBoost algorithm was proposed.Firstly,by analyzing the measured electrical quantities and action switch quantities on both sides of the line protection,the correlation features of time/frequency domain differential current and differential voltage,transient polarity,and action signals under internal and external fault scenarios were decoupled.Then,the decoupled multi-source fault feature vectors were input into the XGBoost serial learning algorithm,and the NRBO algorithm was introduced to globally optimize the training parameters of XGBoost.Finally,based on the identification output of the improved NRBO-XGBoost algorithm,a complete transmission line fault diagnosis model for internal and external faults was obtained.An IEEE-30 standard node transmission system model was constructed using PSCAD/EMTDC.Through testing in four typical scenarios,the results demonstrated that the proposed multi-source information fusion algorithm achieves a line fault diagnosis accuracy of 99%,meeting the required threshold.Additionally,it exhibits certain advantages in terms of diagnosis speed compared to traditional intelligent algorithms.

关 键 词：输电线路 故障诊断 XGBoost算法 NRBO算法 多源信息融合 

分 类 号：TM28[一般工业技术—材料科学与工程]