Research Article
An Improved Power Quality Disturbance Detection Using Deep Learning Approach
Table 1
Mathematical model for PQDs.
| Label | Event | Mathematical models | Model parameters |
| C1 | Normal | | T | C2 | Sag | | T | C3 | Swell | | T | C4 | Interruption | | T | C5 | Harmonics | | , | C6 | Flicker | | | C7 | Oscillatory transient | | | C8 | Impulsive transient | | | C9 | Notch | | , | C10 | Spike | | , | C11 | Sag with harmonics | | T , , | C12 | Swell with harmonics | | T , , | C13 | Flicker with harmonics | | , , | C14 | Interruption with harmonics | | T , , | C15 | Flicker with sag | | T , , | C16 | Flicker with swell | | T , , |
|
|