Service Life Prediction Method of Transformer in Prefabricated Substation Based on BOA-BP Neural Network

The operation status of transformers should be crucial for ensuring the normal operation of prefabricated intelligent substations, and accurate assessment and prediction of transformer service life is key to ensuring their safety and stability. This paper proposed a method for predicting transformer...

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Bibliographic Details
Published in2023 6th International Conference on Renewable Energy and Power Engineering (REPE) pp. 163 - 167
Main Authors Fu, Rao, Zhi, Dingrui, Yang, Xiaolong, Cao, Hongcheng, Shi, Jiachuan, Huo, Da
Format Conference Proceeding
LanguageEnglish
Published IEEE 15.09.2023
Subjects
health indicator
neural network
Neural networks
Oil insulation
Predictive models
service life prediction
Solid modeling
status assessment
Substations
Temperature
transformer
Windings
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Summary:The operation status of transformers should be crucial for ensuring the normal operation of prefabricated intelligent substations, and accurate assessment and prediction of transformer service life is key to ensuring their safety and stability. This paper proposed a method for predicting transformer service life based on Bayesian optimization and BP neural network. This method extracted effective features from transformer operational data and evaluates its status and remaining service life through a health indicator. The effectiveness of this method was verified on data from a certain transformer, providing scientific guidance for the maintenance work of prefabricated intelligent substations.
ISSN:2771-7011
DOI:10.1109/REPE59476.2023.10511298