基于图神经网络的智能变电站二次回路故障定位方法

Research on Fault Location Method of Secondary Circuit in Smart Substation Based on Graph Neural Network

智能变电站是我国电气系统的重要组成部分,为我国能源建设奠定了坚实的基础。变电站运行的质量直接影响用户的用电体验。智能变电站二次回路故障定位和可移植性受到相关部门和工作人员的广泛关注,因此提出了一种基于图神经网络(Graph Neural Network,GNN)的智能变电站二次回路故障定位方法。该方法利用图神经网络的理论建立故障定位模型,提高了智能变电站的运行效率。

As an important part of China's electrical system,smart substation has laid a solid foundation for China's energy construction.The quality of substation operation will directly affect the user's electricity experience.Therefore,intelligent substation secondary loop fault location accuracy and portability has been widely concerned by relevant departments and staff.A fault location method of intelligent substation secondary loop based on Graph Neural Network(GNN)arises at the moment.The method uses the theory of graph neural network to establish a fault location model,which improves the operation efficiency of intelligent substation.