摘要
阐述通过构建适应电力系统特点的输入数据集,设计基于Transformer的深度学习网络结构,实现对电力系统中继电保护任务的高效处理与预测,同时,进一步提升算法的准确性和泛化能力。
This paper expounds the efficient processing and prediction of relay protection tasks in the power system by constructing an input dataset that adapts to the characteristics of the power system and designing a deep learning network structure based on Transformer.It further enhances the accuracy and generalization ability of the algorithm.
作者
步雅楠
任涛
BU Yanan;REN Tao(State Grid Shandong Electric Power Company Qingdao Power Supply Company,Shandong 266001,China)
出处
《电子技术(上海)》
2024年第6期380-381,共2页
Electronic Technology
关键词
深度学习
继电保护
算法优化
deep learning
relay protection
algorithm optimization