A few-shot learning model for renewable energy transmission fault diagnosis in tunnels

IF 3.3 3区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

Electric Power Systems Research Pub Date : 2025-05-06 DOI:10.1016/j.epsr.2025.111798

Zhuofan Zhang , Dongsheng Cai , Chiagoziem C. Ukwuoma , Qi Huang

引用次数: 0

Abstract

The buried high-voltage direct current (HVDC) transmission technology has been successfully applied in domestic projects, addressing challenges such as extreme cold, seismic activity, and high altitudes. However, existing fault diagnosis methods face two main issues: insufficient fault data samples and difficulty in diagnosing multiple or coupled faults. To address these, this paper proposes and optimizes a Siamese neural network-based fault diagnosis model using limited data. The study simulates six fault types, including coupled fault scenarios. Compared to other models, the proposed model achieves an accuracy of over 90 %, while CNN and deep belief network models achieve 75 % and 60 %, respectively. In coupled fault scenarios, the proposed model maintains an accuracy of 93 %, demonstrating its effectiveness.

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隧道可再生能源传输故障诊断的小样本学习模型

埋地高压直流（HVDC）输电技术已成功应用于国内项目，解决了极端寒冷、地震活动和高海拔等挑战。然而，现有的故障诊断方法面临两个主要问题：故障数据样本不足和多故障或耦合故障难以诊断。为了解决这些问题，本文提出并优化了基于Siamese神经网络的有限数据故障诊断模型。该研究模拟了六种故障类型，包括耦合故障场景。与其他模型相比，该模型的准确率达到90%以上，而CNN和深度信念网络模型的准确率分别达到75%和60%。在耦合故障场景下，该模型保持了93%的准确率，证明了该模型的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Electric Power Systems Research 工程技术-工程：电子与电气

CiteScore

7.50

自引率

17.90%

发文量

963

审稿时长

3.8 months

期刊介绍： Electric Power Systems Research is an international medium for the publication of original papers concerned with the generation, transmission, distribution and utilization of electrical energy. The journal aims at presenting important results of work in this field, whether in the form of applied research, development of new procedures or components, orginal application of existing knowledge or new designapproaches. The scope of Electric Power Systems Research is broad, encompassing all aspects of electric power systems. The following list of topics is not intended to be exhaustive, but rather to indicate topics that fall within the journal purview. • Generation techniques ranging from advances in conventional electromechanical methods, through nuclear power generation, to renewable energy generation. • Transmission, spanning the broad area from UHV (ac and dc) to network operation and protection, line routing and design. • Substation work: equipment design, protection and control systems. • Distribution techniques, equipment development, and smart grids. • The utilization area from energy efficiency to distributed load levelling techniques. • Systems studies including control techniques, planning, optimization methods, stability, security assessment and insulation coordination.