Research Article
Accurate Fault Classifier and Locator for EHV Transmission Lines Based on Artificial Neural Networks
Table 9
The effect of the fault inception angle of modular ANN-based fault locators (FL1, FL2, and FL3).
| | Fault conditions | Desired output (Km) | Actual output (Km) | Error (%) | | Fault type | () | FIA (°) | FL1 | FL2 | FL3 | FL1 | FL2 | FL3 |
| | - | 33 | 30° | 11 | 11.3129 | 10.9023 | 11.0009 | 0.3129 | 0.0977 | 0.0009 | | -- | 33 | 60° | 11 | 10.6189 | 10.7948 | 10.8984 | 0.3811 | 0.2052 | 0.0967 | | -- | 33 | 90° | 11 | 11.2009 | 11.2078 | 11.1299 | 0.2009 | 0.2078 | 0.1299 | | -- | 33 | 180° | 11 | 11.3914 | 11.5851 | 11.1007 | 0.3914 | 0.4149 | 0.1007 | | -- | 33 | 360° | 11 | 11.4015 | 11.4197 | 10.8392 | 0.4015 | 0.4197 | 0.1608 |
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