Construction and application of knowledge graph for grid dispatch fault handling based on pre-trained model

Zhixiang Ji; Xiaohui Wang; Jie Zhang; Di Wu

doi:10.1016/j.gloei.2023.08.009

欢迎来到能源电力期刊网！

English Version 期刊登录

您当前的位置：

首页 >

文章列表页 >

Construction and application of knowledge graph for grid dispatch fault handling based on pre-trained model

更新时间：2026-10-05

- Construction and application of knowledge graph for grid dispatch fault handling based on pre-trained model
- Construction and application of knowledge graph for grid dispatch fault handling based on pre-trained model
- 全球能源互联网(英文) 2023年6卷第4期页码：493-504
- 作者机构：
  
  1. China Electric Power Research Institute Co., Ltd, Haidian District,Beijing,PR China,100192
  2. Sichuan Electric Power Research Institute SGCC,Chengdu,PR China,610041
- 作者简介：
- 基金信息：
- DOI：10.1016/j.gloei.2023.08.009
  中图分类号：
- 网络首发：2023-08-31，
  
  纸质出版：2023-08-31
- 稿件说明：
移动端阅览
Zhixiang Ji, Xiaohui Wang, Jie Zhang, 等. Construction and application of knowledge graph for grid dispatch fault handling based on pre-trained model[J]. 全球能源互联网(英文), 2023,6(4):493-504.

Zhixiang Ji, Xiaohui Wang, Jie Zhang, et al. Construction and application of knowledge graph for grid dispatch fault handling based on pre-trained model[J]. Global Energy Interconnection, 2023, 6(4): 493-504.
Zhixiang Ji, Xiaohui Wang, Jie Zhang, 等. Construction and application of knowledge graph for grid dispatch fault handling based on pre-trained model[J]. 全球能源互联网(英文), 2023,6(4):493-504. DOI： 10.1016/j.gloei.2023.08.009.

Zhixiang Ji, Xiaohui Wang, Jie Zhang, et al. Construction and application of knowledge graph for grid dispatch fault handling based on pre-trained model[J]. Global Energy Interconnection, 2023, 6(4): 493-504. DOI： 10.1016/j.gloei.2023.08.009.

摘要

Abstract

With the construction of new power systems

the power grid has become extremely large

with an increasing proportion of new energy and AC/DC hybrid connections. The dynamic characteristics and fault patterns of the power grid are complex; additionally

power grid control is difficult

operation risks are high

and the task of fault handling is arduous. Traditional power-grid fault handling relies primarily on human experience. The difference in and lack of knowledge reserve of control personnel restrict the accuracy and timeliness of fault handling. Therefore

this mode of operation is no longer suitable for the requirements of new systems. Based on the multi-source heterogeneous data of power grid dispatch

this paper proposes a joint entity–relationship extraction method for power-grid dispatch fault processing based on a pre-trained model

constructs a knowledge graph of power-grid dispatch fault processing and designs

and develops a fault-processing auxiliary decision-making system based on the knowledge graph. It was applied to study a provincial dispatch control center

and it effectively improved the accident processing ability and intelligent level of accident management and control of the power grid.

关键词

Keywords

references

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

Modeling and application of marketing and distribution data based on graph computing

Resilient adversarial-evolutionary multi-agent intelligence for real-time EV charging and energy trading in renewable-integrated smart grids

Research on benefit coordination mechanism in renewable energy multi-energy complementary systems

Forecasting the average daily and during the hours of maximum electric load based on the data of the average monthly electricity consumption with single and other energy sources

Distribution network data asset protection considering multiple topology and multi-dimensional knowledge graph