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基于深度学习的继电保护算法与优化分析

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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.
Analysis of Relay Protection Algorithm and Optimization Based on Deep Learning
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.

deep learningrelay protectionalgorithm optimization

步雅楠、任涛

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国网山东省电力公司青岛供电公司,山东 266001

深度学习 继电保护 算法优化

2024

电子技术
上海市电子学会,上海市通信学会

电子技术

影响因子:0.296
ISSN:1000-0755
年,卷(期):2024.53(6)