Classification of power quality disturbances in microgrids using a multi-level global convolutional neural network and SDTransformer approach.
As the adoption of new energy sources like photovoltaic and wind power increases alongside the influx of advanced power electronic devices, there has been a significant rise in power quality disturbance events (PQDs) within power systems. These disturbances, including harmonics and voltage dips, sev...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0317050 |
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