Research Article
Radial Basis Function Neural Network Application to Power System Restoration Studies
Table 4
Case 2 some sample testing data and output.
| | L. L. | | | | | | |
| | 0.9567 | 155 | 1.3012 | 1.3235 | 1.7135 | 0.0746 | 0.0767 | 2.8214 | | 0.9669 | 170 | 1.3256 | 1.3173 | 0.6281 | 0.1472 | 0.1539 | 4.5184 | | 1.0306 | 185 | 1.4219 | 1.3687 | 3.7428 | 0.3711 | 0.3617 | 2.5369 | | 1.0435 | 200 | 1.4792 | 1.5025 | 1.5746 | 0.4259 | 0.4205 | 1.2657 | | 1.1057 | 210 | 1.6025 | 1.6393 | 2.2974 | 0.4927 | 0.5034 | 2.1624 | | 1.1204 | 225 | 1.6852 | 1.6328 | 3.1108 | 0.5483 | 0.5408 | 1.3751 | | 1.1882 | 237 | 1.8395 | 1.8904 | 2.7659 | 0.6297 | 0.5984 | 4.9752 | | 1.2033 | 250 | 1.9129 | 1.9412 | 1.4782 | 0.6736 | 0.6927 | 2.8395 |
|
|
: voltage at transformer bus before switching (p.u.), L. L.: line length (km), : voltage error (%), and : duration time error (%).
|
