Electric Power ›› 2025, Vol. 58 ›› Issue (4): 237-244.DOI: 10.11930/j.issn.1004-9649.202408023
• Artificial Intelligence in Power System • Previous Articles Next Articles
MENG Fei1(), LI Jiangpeng1(
), LI Tao1(
), XU Jianzhong1, GAO Haiyang1, QIAO Yongtian2
Received:
2024-08-07
Accepted:
2024-11-05
Online:
2025-04-23
Published:
2025-04-28
Supported by:
MENG Fei, LI Jiangpeng, LI Tao, XU Jianzhong, GAO Haiyang, QIAO Yongtian. Matching Method for Power Grid Fault Handling Plan Based on Semantic Enhancement[J]. Electric Power, 2025, 58(4): 237-244.
字符序列 | X | X | 机 | 组 | 1 | 0 | 0 | 0 | k | V | 电 | 压 | 下 | 降 | 用 | X | X | 线 | ||||||||||||||||||
标签序列 | B-U | I-U | I-U | I-U | B-L | I-L | I-L | I-L | I-L | I-L | O | O | O | O | O | B-A | I-A | I-A | ||||||||||||||||||
实体类型 | 机组 | 机组 | 机组 | 机组 | 电压等级 | 电压等级 | 电压等级 | 电压等级 | 电压等级 | 电压等级 | 线路 | 线路 | 线路 |
Table 1 Power grid fault handling plan entity labeling example
字符序列 | X | X | 机 | 组 | 1 | 0 | 0 | 0 | k | V | 电 | 压 | 下 | 降 | 用 | X | X | 线 | ||||||||||||||||||
标签序列 | B-U | I-U | I-U | I-U | B-L | I-L | I-L | I-L | I-L | I-L | O | O | O | O | O | B-A | I-A | I-A | ||||||||||||||||||
实体类型 | 机组 | 机组 | 机组 | 机组 | 电压等级 | 电压等级 | 电压等级 | 电压等级 | 电压等级 | 电压等级 | 线路 | 线路 | 线路 |
实体类型 | P | R | F1 | |||
地区 | 95.85 | 95.85 | 95.85 | |||
机构 | 95.83 | 100.00 | 97.87 | |||
机组 | 100.00 | 96.51 | 98.22 | |||
线路 | 97.78 | 97.78 | 97.78 | |||
母线 | 100.00 | 97.06 | 98.51 | |||
变压器 | 100.00 | 97.44 | 98.70 | |||
开关 | 92.31 | 95.71 | 94.14 | |||
刀闸 | 93.64 | 97.95 | 95.75 | |||
状态 | 96.49 | 95.27 | 95.88 | |||
电压等级 | 95.17 | 95.83 | 95.50 |
Table 2 The dispatch object entity recognition results on test samples 单位:%
实体类型 | P | R | F1 | |||
地区 | 95.85 | 95.85 | 95.85 | |||
机构 | 95.83 | 100.00 | 97.87 | |||
机组 | 100.00 | 96.51 | 98.22 | |||
线路 | 97.78 | 97.78 | 97.78 | |||
母线 | 100.00 | 97.06 | 98.51 | |||
变压器 | 100.00 | 97.44 | 98.70 | |||
开关 | 92.31 | 95.71 | 94.14 | |||
刀闸 | 93.64 | 97.95 | 95.75 | |||
状态 | 96.49 | 95.27 | 95.88 | |||
电压等级 | 95.17 | 95.83 | 95.50 |
模型 | Acc/% | AUC | t/ms | |||
ABCNN | 86.03 | 19.8 | ||||
BiMPM | 90.84 | 24.2 | ||||
DSSM | 93.77 | 26.0 | ||||
RE2 | 95.92 | 14.7 |
Table 3 Performance comparison of different text matching models
模型 | Acc/% | AUC | t/ms | |||
ABCNN | 86.03 | 19.8 | ||||
BiMPM | 90.84 | 24.2 | ||||
DSSM | 93.77 | 26.0 | ||||
RE2 | 95.92 | 14.7 |
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