Matching Method for Power Grid Fault Handling Plan Based on Semantic Enhancement
In order to improve the matching efficiency and accuracy of grid fault handling plan, a semantic enhancement-based grid fault handling plan matching method is proposed. Firstly, the multi-dispatch objects entities in the fault handling plan are characterized as computable word vectors by fine-tuning...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
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State Grid Energy Research Institute
2025-05-01
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| Series: | Zhongguo dianli |
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| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202408023 |
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| _version_ | 1850215363427434496 |
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| author | Fei MENG Jiangpeng LI Tao LI Jianzhong XU Haiyang GAO Yongtian QIAO |
| author_facet | Fei MENG Jiangpeng LI Tao LI Jianzhong XU Haiyang GAO Yongtian QIAO |
| author_sort | Fei MENG |
| collection | DOAJ |
| description | In order to improve the matching efficiency and accuracy of grid fault handling plan, a semantic enhancement-based grid fault handling plan matching method is proposed. Firstly, the multi-dispatch objects entities in the fault handling plan are characterized as computable word vectors by fine-tuning the hyperparameters of the bidirectional encoder representations from transformers (BERT) model, and integrated into the conditional random field (CRF) model to identify the dispatch objects entity categories. And then, the semantic distance between the grid fault information and dispatch objects are computed based on the residual vector-embedding vector-encoded vector (RE2), and a grid fault handling plan matching model is established based on BERT-CRF-RE2. Finally, through validation of the data of a regional power grid, the proposed model effectively solves the problem of low plan matching accuracy rate. |
| format | Article |
| id | doaj-art-63628e40be7346d79bf7eec9925099d5 |
| institution | OA Journals |
| issn | 1004-9649 |
| language | zho |
| publishDate | 2025-05-01 |
| publisher | State Grid Energy Research Institute |
| record_format | Article |
| series | Zhongguo dianli |
| spelling | doaj-art-63628e40be7346d79bf7eec9925099d52025-08-20T02:08:38ZzhoState Grid Energy Research InstituteZhongguo dianli1004-96492025-05-0158423724410.11930/j.issn.1004-9649.202408023zgdl-57-12-mengfeiMatching Method for Power Grid Fault Handling Plan Based on Semantic EnhancementFei MENG0Jiangpeng LI1Tao LI2Jianzhong XU3Haiyang GAO4Yongtian QIAO5State Grid Ningxia Electric Power Co., Ltd., Power Dispatch and Control Center, Yinchuan 750001, ChinaState Grid Ningxia Electric Power Co., Ltd., Power Dispatch and Control Center, Yinchuan 750001, ChinaState Grid Ningxia Electric Power Co., Ltd., Power Dispatch and Control Center, Yinchuan 750001, ChinaState Grid Ningxia Electric Power Co., Ltd., Power Dispatch and Control Center, Yinchuan 750001, ChinaState Grid Ningxia Electric Power Co., Ltd., Power Dispatch and Control Center, Yinchuan 750001, ChinaGuodian Nari Nanjing Control System Co., Ltd., Nanjing 211106, ChinaIn order to improve the matching efficiency and accuracy of grid fault handling plan, a semantic enhancement-based grid fault handling plan matching method is proposed. Firstly, the multi-dispatch objects entities in the fault handling plan are characterized as computable word vectors by fine-tuning the hyperparameters of the bidirectional encoder representations from transformers (BERT) model, and integrated into the conditional random field (CRF) model to identify the dispatch objects entity categories. And then, the semantic distance between the grid fault information and dispatch objects are computed based on the residual vector-embedding vector-encoded vector (RE2), and a grid fault handling plan matching model is established based on BERT-CRF-RE2. Finally, through validation of the data of a regional power grid, the proposed model effectively solves the problem of low plan matching accuracy rate.https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202408023power grid fault handlingplan matchingsemantic enhancementmulti-scheduling object |
| spellingShingle | Fei MENG Jiangpeng LI Tao LI Jianzhong XU Haiyang GAO Yongtian QIAO Matching Method for Power Grid Fault Handling Plan Based on Semantic Enhancement Zhongguo dianli power grid fault handling plan matching semantic enhancement multi-scheduling object |
| title | Matching Method for Power Grid Fault Handling Plan Based on Semantic Enhancement |
| title_full | Matching Method for Power Grid Fault Handling Plan Based on Semantic Enhancement |
| title_fullStr | Matching Method for Power Grid Fault Handling Plan Based on Semantic Enhancement |
| title_full_unstemmed | Matching Method for Power Grid Fault Handling Plan Based on Semantic Enhancement |
| title_short | Matching Method for Power Grid Fault Handling Plan Based on Semantic Enhancement |
| title_sort | matching method for power grid fault handling plan based on semantic enhancement |
| topic | power grid fault handling plan matching semantic enhancement multi-scheduling object |
| url | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202408023 |
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