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Journal of Electric Power. 2023, (02)

Online Detection Method of Transformer Capacity Based on Cyclic BP ModelChinese Full Text

LI Jinkuo;WANG Xiuping;School of Electric Power, Shenyang Institute of Engineering;

Abstract: Due to the interference of operating environment, operating state or acquisition device, there is a lot of noise in the on-line detection state data of transformer, which makes the on-line calculation of short-circuit impedance fluctuate and affects the detection results of transformer capacity. Based on the comprehensive analysis of the current data cleaning methods, a circulating cleaning method with BP neural network as the core was proposed. The historical data was cleaned unsupervised and t... More
Keywords：

transformer; transformer capacity detection; machine learning; data cleaning; BP neural network;

  • DOI：

    10.13357/j.dlxb.2023.011

  • Series：

    (C) Architecture/ Energy/ Traffic/ Electromechanics, etc; (I) Electronic Technology ＆ Information Science

  • Subject：

    Electric Power Industry; Automation Technology

  • Classification Code：

    TM40;TP183

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