基于深度学习的配电网故障智能辨识模型研究

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中图分类号：TP18 文献标志码：A 文章编号：2095-2945（2025）13-0024-05

Abstract：With theadvancementof powersystem technologyandequipmentupgrades，theacumulationof poweroperation datahasbecomemoreandmoreregular.Duetothelimitationsoftradionalneuralnetworks，faultsamplescannotbeidetified well.Tothisnd，anintellgentidentificationmodelfordistrbutionnetworkfultsbasedoneeplaingisproposdistthe neuralnetworkarchitectureisdetermined;thenthemodelistrainedbycombiningthecorrspondingparameteroptimization algorithm;finally，thedeeplearningmodelfordistributionnetworkfaultidenificationcanbeobtained.Throughsimulation verification， the verification results prove the effectiveness of the proposed method.

Keyword：neuralnetwork；distributionnetwork；deeplearningmodel;parameteroptimizationalgorithm；inteligentfault identification

在配电网故障研究领域，研究内容通常包括故障预测、故障检测以及系统恢复与重构等方面。（剩余6551字）