Research Article
Genetic Algorithm-Based Artificial Neural Network for Voltage Stability Assessment
Table 3
Output and error during testing of GABPNN (10-4-1).
| TP | Voltage stability margin | Error (p.u.) | Error (% age) | TP | Voltage stability margin | Error (p.u.) | Error (% age) | | Actual | By GABPNN | Actual | By GABPNN |
| 1 | 1.45935 | 1.4304 | 0.029 | 1.9849 | 2 | 1.62284 | 1.6169 | 0.0059 | 0.3612 | 3 | 1.57712 | 1.5733 | 0.0038 | 0.2397 | 4 | 1.41375 | 1.3865 | 0.0272 | 1.9244 | 5 | 1.64237 | 1.6341 | 0.0083 | 0.5061 | 6 | 1.52868 | 1.5105 | 0.0182 | 1.1905 | 7 | 1.55574 | 1.5763 | −0.0206 | −1.3238 | 8 | 1.43946 | 1.4307 | 0.0088 | 0.6145 | 9 | 1.5849 | 1.584 | 0.0009 | 0.0561 | 10 | 1.47208 | 1.5002 | −0.0281 | −1.9118 | 11 | 1.41474 | 1.4116 | 0.0031 | 0.2221 | 12 | 1.52114 | 1.5229 | −0.0018 | −0.1206 | 13 | 1.48234 | 1.5262 | −0.0439 | −2.9627 | 14 | 1.49136 | 1.4847 | 0.0067 | 0.4479 | 15 | 1.51966 | 1.5246 | −0.0049 | −0.3213 | 16 | 1.52114 | 1.5486 | −0.0275 | −1.8086 | 17 | 1.71256 | 1.7131 | −0.0006 | −0.0356 | 18 | 1.58577 | 1.6148 | −0.029 | −1.8276 | 19 | 1.65003 | 1.6502 | −0.0002 | −0.011 | 20 | 1.59516 | 1.595 | 0.0001 | 0.0048 | 21 | 1.45626 | 1.4538 | 0.0025 | 0.1718 | 22 | 1.52262 | 1.5097 | 0.0129 | 0.8503 | 23 | 1.5655 | 1.5485 | 0.017 | 1.0834 | 24 | 1.47739 | 1.4733 | 0.0041 | 0.276 | 25 | 1.55784 | 1.5675 | −0.0096 | −0.6174 | 26 | 1.82254 | 1.8215 | 0.0011 | 0.0619 | 27 | 1.43748 | 1.4152 | 0.0223 | 1.5501 | 28 | 1.44526 | 1.4396 | 0.0057 | 0.394 | 29 | 1.61876 | 1.5927 | 0.0261 | 1.6113 | 30 | 1.68389 | 1.6946 | −0.0107 | −0.6365 |
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TP: Testing Pattern.
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