Research Article
Accurate Fault Classifier and Locator for EHV Transmission Lines Based on Artificial Neural Networks
Table 8
The effect of the fault resistance of modular ANN-based fault locators (FL1, FL2, and FL3).
| Fault conditions | Desired output (Km) | Actual output (Km) | Error (%) | Fault type | FIA (°) | (Ω) | FL1 | FL2 | FL3 | FL1 | FL2 | FL3 |
| | 10° | 0 | 75 | 74.8889 | 75.3175 | 75.0912 | 0.1111 | 0.3175 | 0.0912 | - | 10° | 10 | 75 | 74.7792 | 74.7782 | 75.1008 | 0.2208 | 0.2218 | 0.1008 | - | 10° | 100 | 75 | 75.8217 | 75.3390 | 73.7193 | 0.8217 | 1.3390 | 0.2807 | - | 10° | 150 | 75 | 75.8944 | 75.6008 | 75.3071 | 0.8944 | 0.6008 | 0.3071 | - | 10° | 200 | 75 | 76.2019 | 76.9713 | 75.1297 | 1.2019 | 1.9713 | 0.1297 |
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