Development and Application of Convolutional Neural Network for the Recognition of Objects in the Scheme of Electric Grid

One of the current design problems in the electric power industry is the labor intensity of synthesizing mathematical models to calculate the electrical modes of the network. It takes a lot of time to compose a detailed model of a large power system based on circuit diagram data. To simplify, speed...

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Bibliographic Details
Published in:Journal of physics. Conference series 2021-11, Vol.2096 (1), p.12020
Main Authors: Rezaeva, M A, Semendyaev, R Y
Format: Article
Language:English
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Summary:One of the current design problems in the electric power industry is the labor intensity of synthesizing mathematical models to calculate the electrical modes of the network. It takes a lot of time to compose a detailed model of a large power system based on circuit diagram data. To simplify, speed up, and automate the data input, a convolutional neural network is proposed. In this paper the definition of convolutional neural network is given, its elements are described, the architecture of neural network is developed, the accuracy of its work on the schematic diagrams of various power systems is 0.84.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/2096/1/012020