电网技术2023，Vol.47Issue(12)：4866-4876,11.DOI:10.13335/j.1000-3673.pst.2023.1148
基于图注意力网络和一致性风险控制的配电网故障区段定位方法
A Fault Section Location Method Based on Graph Attention Network and Conformal Risk Control in Distribution Network
摘要
Abstract
The distribution network operates flexibly and the topology changes frequently.The existing fault section location method of the distribution network based on artificial intelligence algorithm has poor topological generalization.In this paper,the underlying model of fault section location in distribution network is proposed based on graph attention network(GAT).This model fully explores the fault characteristics based on the topology of the distribution network to improve its topological generalization.In addition,the conformal risk control(CRC)method is introduced to construct a reliable model of fault section location in distribution network,so that the prediction risk of the model is artificially controllable.The results of IEEE-33 system show that the fault section location model based on GAT and CRC has preferable accuracy,robustness and topological generalization.Moreover,the model has good performance under double fault and high resistance fault,and has certain generalization ability for the change of distribution network line parameters.关键词
配电网/故障区段定位/拓扑泛化性/图注意力网络/一致性风险控制Key words
distribution network/fault section location/topological generalization/graph attention network/conformal risk control分类
信息技术与安全科学引用本文复制引用
陈晓龙,孙丽蓉,李永丽,李斌,王莉,蔡燕春..基于图注意力网络和一致性风险控制的配电网故障区段定位方法[J].电网技术,2023,47(12):4866-4876,11.基金项目
中国南方电网有限责任公司科技项目(030108KK52222003).Project Supported by the Science and Technology Project of China Southern Power Grid(030108KK52222003). （030108KK52222003）
