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.