Loss reduction strategy and evaluation system based on reasonable line loss interval of transformer area. (15th January 2022)

• Record Type: Journal Article
• Authors: Hu, Wei; Guo, Qiuting; Wang, Wei; Wang, Weiheng; Song, Shuhong
• Is Part Of: Applied energy. Volume 306:Part B(2022)
• Publication Date: 2022-01-15
• Subjects: Reasonable line loss interval -- Convolutional neural network -- Line loss management -- Loss reduction; Power (Mechanics) -- Periodicals; Energy conservation -- Periodicals; Energy conversion -- Periodicals; 621.042
• DOI: 10.1016/j.apenergy.2021.118123
• Languages: English
• ISSNs: 0306-2619

Abstract

Highlights: Method for making time series data samples of imitation pictures. Calculation model of reasonable line loss interval in transformer area based on CNN. A new self-adaptive evaluation system of line loss index. Lean management strategy of line loss in distribution transformer area. 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.