Open AccessStability Evaluation Method of Grid Transient State Based on Deep Learning Technology
Author(s) -
Xinjian Chen,
Yilun Zhu,
Dongjian Hong,
Jie Yu
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/782/3/032048
Subject(s) - transient (computer programming) , grid , stability (learning theory) , deep learning , computer science , power grid , state (computer science) , artificial intelligence , power (physics) , machine learning , algorithm , mathematics , operating system , physics , geometry , quantum mechanics
At present, with the size increase and complication of the grid, it has brought greater challenges to the stable operation of the grid; the author proposes a stability evaluation model of grid transient based on deep learning technology, which has high recognition speed and accuracy after being verified by practical examples.