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作 者:曹海欧 俞力珉 张林 刘志仁 韩笑[3] 戴志辉[3] CAO Haiou;YU Limin;ZHANG Lin;LIU Zhiren;HAN Xiao;DAI Zhihui(State Grid Jiangsu Electric Power Co.,Ltd.,Nanjing 210024,China;Wuxi Power Supply Company,State Grid Jiangsu Electric Power Co.,Ltd.,Wuxi 214062,China;School of Electrical and Electronic Engineering,North China Electric Power University,Baoding 071003,China)
机构地区:[1]国网江苏省电力有限公司,南京210024 [2]国网江苏省电力有限公司无锡供电分公司,无锡214062 [3]华北电力大学电气与电子工程学院,保定071003
出 处:《南京信息工程大学学报》2025年第2期282-292,共11页Journal of Nanjing University of Information Science & Technology
基 金:国网江苏省电力有限公司孵化项目(JF2023023)。
摘 要:智能站主设备保护采样回路异常因具有隐蔽性、瞬时性、不稳定性等特点而难以发现.本文提出一种基于同源录波数据的主设备保护采样回路异常预警方案.首先,通过合理设定预警门槛和波形分析判据判断采样回路是否出现异常;其次,基于采样回路缺陷处理文本及设备运维手册等信息构建采样回路运维知识图谱,实现采样回路异常辅助决策;最后,以某变电站实际缺陷为例进行案例分析.结果表明,所提方案能有效地发现采样回路异常,构建的知识图谱可为运维人员提供异常处置决策参考,极大地缓解人工压力.The abnormalities in the host device protection sampling loops of smart substations are difficult to detect due to their characteristics of concealment,transience,and instability.Here,we propose an early warning scheme for the abnormal sampling loops of the host device protection in smart substations based on homologous waveform recording data.First,the occurrence of abnormal sampling loops is determined by reasonably setting the early warning thresholds and waveform analysis criteria.Second,a knowledge graph for the operation and maintenance of the sampling loops is constructed based on information of the equipment operation and maintenance manual related to the sampling loops,to realize the aided decision-making for handling abnormal sampling loops.Finally,a case study is carried out based on an actual defect in a substation.The results show that the scheme is effective in detecting the abnormalities in the sampling loops,and the constructed knowledge graph can provide decision-making references for operation and maintenance personnel in handling abnormalities,significantly reducing manual workload.
关 键 词:采样回路 智能变电站 主设备保护 同源录波数据 异常预警 知识图谱
分 类 号:TM761[电气工程—电力系统及自动化]
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