Loss reduction strategy and evaluation system based on reasonable line loss interval of transformer area

Wei Hu, Qiuting Guo, Wei Wang, Weiheng Wang and Shuhong Song

Applied Energy, 2022, vol. 306, issue PB, No S0306261921014021

Abstract: As the wiring of distribution network becomes more and more complex, it is difficult to calculate the theoretical line loss of low-voltage distribution transformer area and the evaluation index of transformer line loss is extensive. In this paper, a reasonable interval calculation model of line loss is established based on the data of electricity information acquisition system. Firstly, the collected data are processed in the image format, and then the line loss calculation model is established based on the convolutional neural network. This model can estimate the reasonable line loss interval according to the operation data of different transformers. On this basis, the line loss evaluation system is established and the loss reduction strategy of abnormal transformer is formed. The method in this paper can be used to evaluate the line loss level of distribution transformer area more accurately. It also can improve the quality and efficiency of line loss lean management and produce certain effect for electric energy conservation and improving economic benefit of power supply.

Keywords: Reasonable line loss interval; Convolutional neural network; Line loss management; Loss reduction (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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DOI: 10.1016/j.apenergy.2021.118123

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