全球能源互联网（英文）2023，Vol.6Issue(4)：493-504,12.DOI:10.1016/j.gloei.2023.08.009
基于预训练模型的电网调度故障处理知识图谱构建与应用
Construction and application of knowledge graph for grid dispatch fault handling based on pre-trained model
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
电网调度故障处理/知识图谱/预训练模型/辅助决策Key words
Power-grid dispatch fault handling/Knowledge graph/Pre-trained model/Auxiliary decision-making引用本文复制引用
季知祥,王晓辉,张颉,吴迪..基于预训练模型的电网调度故障处理知识图谱构建与应用[J].全球能源互联网（英文）,2023,6(4):493-504,12.基金项目
This work was supported by the Science and Technology Project of the State Grid Corporation"Research on Key Technologies of Power Artificial Intelligence Open Platform"(5700-202155260A-0-0-00). （5700-202155260A-0-0-00）
