高压输电线路在线状态评估与诊断技术

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中图分类号：TP391.4 文献标志码：A 文章编号：2095-2945（2025）26-0178-04

Abstract：Thehigh-voltage transmisson lineconditionevaluationsystemcollectslineoperating parametersinrealtimeand usesdeepneuralnetworkstobuildaconditionevaluationmodeltoacuratelyevaluatethelinehealthstatus.Basedonmultisourcedatafusiontechnology，featureextractionofcollecteddataiscarredout，amulti-dimensionalstateevaluationindex systemisestablished，andanimprovedconvolutioalneuralnetworkisusedtocompletefaultfeatureidentfication.Thestate ssessment modelcombinestheexpertexperienceknowledgebasetobuildanuncertaintydiagnosisdecisiontreetoimprovefault diagnosiscapabilitiesundercomplex workingcondions.Fieldaplicationresultsshowthattheevaluationsystem hasanaccuracy rate of 96.8% in fault identification，and the diagnosis time is 40% shorter than traditional methods.It has been put into use on importanttransmision linesinmanyprovincesacrossthecountry，significantlyimprovingtheeficiencyofpowergridoperation and maintenance.

Keywords：high-voltage transmission line；conditionassessment;multi-sourcedatafusion;faultdiagnosis;deeplearning

高压输电线路承担着电力系统能量传输重任，运行状态直接关系电网安全稳定。（剩余5409字）