Research Article
Genetic Algorithm-Based Artificial Neural Network for Voltage Stability Assessment
Table 4
Output and error during testing of BPNN (10-4-1).
| TP | Voltage stability margin | Error (p.u.) | Error (% age) | TP | Voltage stability margin | Error (p.u.) | Error (% age) | Actual | By BPNN | Actual | By BPNN |
| 1 | 1.45935 | 1.6012 | −0.1419 | 9.72028 | 2 | 1.62284 | 1.60577 | 0.01707 | 1.05201 | 3 | 1.57712 | 1.6534 | −0.0763 | 4.83691 | 4 | 1.41375 | 1.59554 | −0.1818 | 12.8586 | 5 | 1.64237 | 1.6064 | 0.03596 | 2.18981 | 6 | 1.52868 | 1.60288 | −0.0742 | 4.85421 | 7 | 1.55574 | 1.59965 | −0.0439 | 2.82266 | 8 | 1.43946 | 1.59497 | −0.1555 | 10.8038 | 9 | 1.5849 | 1.55658 | 0.02833 | 1.78727 | 10 | 1.47208 | 1.59467 | −0.1226 | 8.32796 | 11 | 1.41474 | 1.595 | −0.1803 | 12.7416 | 12 | 1.52114 | 1.56406 | −0.0429 | 2.82164 | 13 | 1.48234 | 1.60372 | −0.1214 | 8.18847 | 14 | 1.49136 | 1.54934 | −0.058 | 3.88758 | 15 | 1.51966 | 1.55096 | −0.0313 | 2.06016 | 16 | 1.52114 | 1.57032 | −0.0492 | 3.23347 | 17 | 1.71256 | 1.60263 | 0.10993 | 6.41887 | 18 | 1.58577 | 1.59772 | −0.012 | 0.75347 | 19 | 1.65003 | 1.58203 | 0.068 | 4.1212 | 20 | 1.59516 | 1.60209 | −0.0069 | 0.43449 | 21 | 1.45626 | 1.59506 | −0.1388 | 9.53137 | 22 | 1.52262 | 1.60296 | −0.0803 | 5.27643 | 23 | 1.5655 | 1.54795 | 0.01755 | 1.12097 | 24 | 1.47739 | 1.60231 | −0.1249 | 8.45509 | 25 | 1.55784 | 1.56032 | −0.0025 | 0.15901 | 26 | 1.82254 | 1.54385 | 0.27869 | 15.2913 | 27 | 1.43748 | 1.60245 | −0.165 | 11.4763 | 28 | 1.44526 | 1.58866 | −0.1434 | 9.92211 | 29 | 1.61876 | 1.59693 | 0.02184 | 1.34888 | 30 | 1.68389 | 1.57389 | 0.11 | 6.53222 |
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