基于NSM的无人值守变电站实时监控研究

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中图分类号：TM63 文献标志码：B 文章编号：1671-5276（2025）05-0294-05

esearch on Real-time Monitoring of Unattended Substation Based on NSM

ZHANG Jichao，LIU Haodong，SUN Wenkai，LIU Mingyi，GAO Yuan （Xiongan New Area Power SupplyCompany，State Grid Hebei Electric Power Supply Co.，Ltd.，Xiongan O71699，China） Abstract： A solution based on IEC 62351-7 Network and System Management （NSM） was proposed to address the securitymonitoring issues of IEC 6185O substations.The aim wasto achieve real一time detection and identification of anomaliesand network attacks through theapplicationofdeep learning frameworksandNSMdata objects.Adetailed substation model was constructed，including power components，protection devices，control schemes，communication protocols，andNSM applications.A two-stepdeep learning framework was integrated for anomaly detection and network attack identification.Experimental resultsshowed that the proposed method effectively detected GOOSE protocol injection and delay attacks，with F1 scores exceeding 0.98.

Keywords：transformer station；anomaly detection；dep learning；integrated learning；IEC 61850；network and system management

0 引言

随着电力系统的数字化转型，智能电网基础设施面临新的网络安全威胁 ⋅[1-6] 。（剩余5810字）