| 引用本文: | 高泽璞,赵云,余伊兰,等.基于知识图谱的低压配电网拓扑结构辨识方法[J].电力系统保护与控制,2020,48(2):34-43.[点击复制] |
| GAO Zepu,ZHAO Yun,YU Yilan,et al.Low-voltage distribution network topology identification method based on knowledge graph[J].Power System Protection and Control,2020,48(2):34-43[点击复制] |
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| 摘要: |
| 低压配电网中正确的拓扑关系是至关重要的。低压配电网实际拓扑结构因运维需要变动频繁且巨大，配电网信息系统中的数据更新不及时、流通性低以及质量差等不能正确反映低压配电网的实际拓扑结构，有必要进行拓扑辨识。知识图谱技术可以清晰地反映出数据间的现有关系，推理挖掘出隐藏知识，适用于低压配电网的拓扑辨识。因此应用知识图谱技术于拓扑辨识中，首先分析知识图谱构建方法，运用知识图谱技术，对多个低压配电网信息系统中的数据进行整合，推理出缺失数据，挖掘出各数据之间的关系。然后构建出低压配电网拓扑结构的知识图谱。最后结合《低压配电网基建工程典型设计规范》以及语义分词技术，对低压配电网信息系统中的户变关系进行辨识。算例实验效果良好，表明所提出的辨识方法具有理论价值和实际应用价值。 |
| 关键词: 知识图谱 语义分词技术 知识推理 户变关系 拓扑辨识 |
| DOI：10.19783/j.cnki.pspc.190379 |
| 投稿时间：2019-04-08修订日期：2019-07-01 |
| 基金项目:南方电网公司专项课题资助(ZBKJXM20170078);国家自然科学基金项目资助(51277134)“智能电网海量电物理量数据轻型传输机理与方法研究” |
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| Low-voltage distribution network topology identification method based on knowledge graph |
| GAO Zepu,ZHAO Yun,YU Yilan,LUO Yongjian,XU Ziwei,ZHANG Lianmei |
| (School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China;Electric Power Research Institute, CSG, Guangzhou 510080, China) |
| Abstract: |
| The correct topological relationship in the low-voltage distribution network is crucial. The low-voltage distribution network structure changes frequently and tremendously because of the need of operation and maintenance. It is necessary to identify the topology of the incorrect updating of data, low circulation and poor quality, which can not correctly reflect the actual topological structure of low-voltage distribution network. Knowledge graph technology can clearly reflect the existing relationship between data, reason mining hidden knowledge, and apply to low-voltage distribution network topology identification. Therefore, this paper applies knowledge graph technology in topology identification. Firstly, it analyses the construction method of knowledge graph, uses knowledge graph technology to integrate data in multiple low-voltage distribution network information systems, deduces missing data, excavates the relationship between data, and then constructs the knowledge graph of low-voltage distribution network topology structure. Finally, combined with "Typical Design Specification of Low Voltage Distribution Network Infrastructure Project" and semantic word segmentation technology, the household transformer relationship in low voltage distribution network information system is verified and identified. The experimental results of the example are great, which show that the identification method proposed in this paper has theoretical value and practical application value. This work is supported by Special Project of China Southern Power Grid (No. ZBKJXM20170078) and National Natural Science Foundation of China (No. 51277134) “Mechanism and Method Research for Mass Electricity Physical Quantity Light-weight Transmission in Smart Grid”. |
| Key words: knowledge graph semantic word segmentation technology knowledge reasoning household relationship topology identification |
