Construction and Application of Knowledge Graph for Intelligent Retrieval of Power Grid Dispatching and Control Information
Lack of effective retrieval means for the multi-dimensional information of power grid dispatching and control, a knowledge graph construction method for the intelligent retrieval of power grid dispatching and control information is proposed. The semantic relationship of dispatching operation procedu...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
State Grid Energy Research Institute
2023-07-01
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| Series: | Zhongguo dianli |
| Subjects: | |
| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202209084 |
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| _version_ | 1850070081960148992 |
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| author | Dong LIU Yue ZHANG Junbo PI Lianfei SHAN He LIU Pengcheng SONG TAO JIANG |
| author_facet | Dong LIU Yue ZHANG Junbo PI Lianfei SHAN He LIU Pengcheng SONG TAO JIANG |
| author_sort | Dong LIU |
| collection | DOAJ |
| description | Lack of effective retrieval means for the multi-dimensional information of power grid dispatching and control, a knowledge graph construction method for the intelligent retrieval of power grid dispatching and control information is proposed. The semantic relationship of dispatching operation procedures key information is recognized based on deep learning, and the rule conversion method is used to extract the power grid model information. The dispatching and control information knowledge map is established by integrating the targeted knowledge of dispatching operation procedures and power grid model knowledge, and the application scheme of intelligent retrieval of dispatching and control information based on knowledge graph is proposed. The proposed method has been verified to have high recognition accuracy through numerical examples, and can support intelligent retrieval of regulatory information in different scenarios. |
| format | Article |
| id | doaj-art-55526e69c3ce440ba7f9f52bcd1b7b67 |
| institution | DOAJ |
| issn | 1004-9649 |
| language | zho |
| publishDate | 2023-07-01 |
| publisher | State Grid Energy Research Institute |
| record_format | Article |
| series | Zhongguo dianli |
| spelling | doaj-art-55526e69c3ce440ba7f9f52bcd1b7b672025-08-20T02:47:37ZzhoState Grid Energy Research InstituteZhongguo dianli1004-96492023-07-01567788410.11930/j.issn.1004-9649.202209084zgdl-56-7-liudongConstruction and Application of Knowledge Graph for Intelligent Retrieval of Power Grid Dispatching and Control InformationDong LIU0Yue ZHANG1Junbo PI2Lianfei SHAN3He LIU4Pengcheng SONG5TAO JIANG6National Electric Power Dispatching and Control Center of State Grid Corporation of China, Beijing 100031, ChinaNARI Group Corporation (State Grid Electric Power Research Institute), Nanjing 211106, ChinaNational Electric Power Dispatching and Control Center of State Grid Corporation of China, Beijing 100031, ChinaNARI Group Corporation (State Grid Electric Power Research Institute), Nanjing 211106, ChinaNational Electric Power Dispatching and Control Center of State Grid Corporation of China, Beijing 100031, ChinaNational Electric Power Dispatching and Control Center of State Grid Corporation of China, Beijing 100031, ChinaNARI Group Corporation (State Grid Electric Power Research Institute), Nanjing 211106, ChinaLack of effective retrieval means for the multi-dimensional information of power grid dispatching and control, a knowledge graph construction method for the intelligent retrieval of power grid dispatching and control information is proposed. The semantic relationship of dispatching operation procedures key information is recognized based on deep learning, and the rule conversion method is used to extract the power grid model information. The dispatching and control information knowledge map is established by integrating the targeted knowledge of dispatching operation procedures and power grid model knowledge, and the application scheme of intelligent retrieval of dispatching and control information based on knowledge graph is proposed. The proposed method has been verified to have high recognition accuracy through numerical examples, and can support intelligent retrieval of regulatory information in different scenarios.https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202209084power grid dispatchingdeep learningknowledge extractionknowledge graph |
| spellingShingle | Dong LIU Yue ZHANG Junbo PI Lianfei SHAN He LIU Pengcheng SONG TAO JIANG Construction and Application of Knowledge Graph for Intelligent Retrieval of Power Grid Dispatching and Control Information Zhongguo dianli power grid dispatching deep learning knowledge extraction knowledge graph |
| title | Construction and Application of Knowledge Graph for Intelligent Retrieval of Power Grid Dispatching and Control Information |
| title_full | Construction and Application of Knowledge Graph for Intelligent Retrieval of Power Grid Dispatching and Control Information |
| title_fullStr | Construction and Application of Knowledge Graph for Intelligent Retrieval of Power Grid Dispatching and Control Information |
| title_full_unstemmed | Construction and Application of Knowledge Graph for Intelligent Retrieval of Power Grid Dispatching and Control Information |
| title_short | Construction and Application of Knowledge Graph for Intelligent Retrieval of Power Grid Dispatching and Control Information |
| title_sort | construction and application of knowledge graph for intelligent retrieval of power grid dispatching and control information |
| topic | power grid dispatching deep learning knowledge extraction knowledge graph |
| url | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202209084 |
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