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   Fault detection and classification based on deep learning in LVDC off-grid system   [View] 
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 Author(s)   Iurii DEMIDOV 
 Abstract   The integration of information and communication technologies (ICT) into energy power systems provides new applications and possibilities for grid control, operation, and protection. In this paper, asmart self-sustained off-grid concept based on photovoltaics- and battery energy storage system andlow-voltage direct current (LVDC) power distribution network is studied. Due to small electrificationand poor internet coverage, Sub-Saharan Africa is the target area of the concept realization. Focusing on the application of deep learning, this research presents new approaches to the power system's protection, as fault detection and classification are one of the most essential LVDC electricity distribution issues. 
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Filename:0432-epe2020-full-17032836.pdf
Filesize:2.188 MB
 Type   Members Only 
 Date   Last modified 2021-01-18 by System