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Early Warning of Host Device Protection Sampling-loop Abnormality In Smart Substations Based on Homology Recording Data
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Affiliation:

1.State Grid Jiangsu Electric Power Co., Ltd;2.State Grid Jiangsu Electric Power Co., Ltd. Wuxi Power Supply Branch;3.Department of Electric Power Engineering, North China Electric Power University

Clc Number:

TM761??

Fund Project:

The National Natural Science Foundation of China (General Program, Key Program, Major Research Plan)

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    Abstract:

    The sampling-loop abnormality of smart substations has the characteristics of concealment, instantaneousness, and instability, which is difficult to be found. In this regard, a smart substations sampling-loop abnormality warning scheme based on homology recording data is proposed. First, whether the sampling loop is abnormal is judged by reasonably setting the early warning thresholds and waveform-analysis criteria. Second, based on the information of the equipment operation and maintenance manual related to the sampling loop, the knowledge map of the operation and maintenance of the sampling loop is constructed to realize the abnormal decision-making. Finally, a case study is carried out by taking the actual defect of a substation as an example. The results show that the scheme is effective in finding the abnormality of the sampling loops, and the constructed knowledge graph can be used as a reference for O&M personnel to dispose faults, which greatly alleviates the manual pressure.

    Reference
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    [16] DAI Renchang, LIU Guangyi, WANG Zhiwei, et al. A novel graph-based energy management system[J]. IEEE Transactions on Smart Grid, 2019, 11(3): 1845-1853.
    [17] 林凌云, 陈青, 金磊, 等. 基于知识图谱的变电站告警信息故障知识表示研究与应用[J]. 电力系统保护与控制, 2022, 50(12): 90-99.Lin Lingyun, CHEN Qing, Jin Lei, et al. Research and application of substation alarm signal fault knowledge representation based on knowledge graph[J]. Power System Protection and Control, 2022, 50(12): 90-99.作者简介:曹海欧(1979—),男,硕士,高工,研究方向:继电保护技术及管理,E-mail:44081126@qq.com；俞力珉(1981—),男,硕士,高工,研究方向:电力二次技术,E-mail:ylmwuxi@163.com。Early Warning of Host Device Protection Sampling-loop Abnormality In Smart Substations Based on Homology Recording DataCAO Haiou1, YU Limin2, ZHANG Lin2, LIU Zhiren2, HAN Xiao3, DAI Zhihui3(1. State Grid Jiangsu Electric Power Co., Ltd, Nanjing,? 210000, China. 2. State Grid Jiangsu Electric Power Co., Ltd. Wuxi Power Supply Branch, Wuxi,? 214000, China. 3. Department of Electrical Engineering, North China Electric Power University, Baoding? 071003, China)Abstract:The sampling-loop abnormality of smart substations has the characteristics of concealment, instantaneousness, and instability, which is difficult to be found. In this regard, a smart substations sampling-loop abnormality warning scheme based on homology recording data is proposed. First, whether the sampling loop is abnormal is judged by reasonably setting the early warning thresholds and waveform-analysis criteria. Second, based on the information of the equipment operation and maintenance manual related to the sampling loop, the knowledge map of the operation and maintenance of the sampling loop is constructed to realize the abnormal decision-making. Finally, a case study is carried out by taking the actual defect of a substation as an example. The results show that the scheme is effective in finding the abnormality of the sampling loops, and the constructed knowledge graph can be used as a Reference for O M personnel to dispose faults, which greatly alleviates the manual pressure.Keywords: Sampling-loop, Smart substations, Host device protection, Homology recording data, Early warning of anomalies, Knowledge graph
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History
  • Received:April 09,2024
  • Revised:June 01,2024
  • Adopted:June 12,2024
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