Research Article
Power Transformer Differential Protection Based on Neural Network Principal Component Analysis, Harmonic Restraint and Park's Plots
(a) Performance of NNPCA and FFBPNN having topology of 12-11-1 |
| Neural network topology | Training error | Max. epoch | Inrush | Fault | P | A | P | A |
| NNPCA | 0.0001 | 1000 | −1.0 | 0.0 | 0.96 | 1.0 | FFBPNN | 0.0001 | 1000 | −1.0 | 0.0 | 0.96 | 1.0 |
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P: predicted, A: actual.
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(b) Accuracy in classification (%) |
| Trained transformer ratings | Tested transformer ratings | 315 MVA | 200 MVA | 160 MVA | FFBPNN | NNPCA | FFBPNN | NNPCA | FFBPNN | NNPCA |
| 315 MVA | 99.32 | 100 | 94.59 | 100 | 98.64 | 100 | 200 MVA | 94.59 | 100 | 99.32 | 100 | 98.64 | 100 | 160 MVA | 94.59 | 100 | 96.32 | 100 | 100 | 100 |
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