Research Article
Radial Basis Function Neural Network Application to Power System Restoration Studies
Table 3
Case 1 some sample testing data and output.
| | L. L. | | | | | | |
| 0.9541 | 150 | 1.3184 | 1.2898 | 2.1672 | 0.1067 | 0.1102 | 3.2816 | 0.9633 | 163 | 1.3675 | 1.3575 | 0.7314 | 0.2914 | 0.2951 | 1.2762 | 1.0272 | 178 | 1.4533 | 1.5037 | 3.4694 | 0.3806 | 0.3986 | 4.7228 | 1.0418 | 195 | 1.4867 | 1.4674 | 1.2951 | 0.4572 | 0.4463 | 2.3751 | 1.1069 | 207 | 1.6114 | 1.6891 | 4.8216 | 0.5153 | 0.5295 | 2.7495 | 1.1146 | 215 | 1.6602 | 1.7073 | 2.8357 | 0.5496 | 0.5684 | 3.4293 | 1.1862 | 230 | 1.8713 | 1.8391 | 1.7224 | 0.6132 | 0.6034 | 1.5907 | 1.2003 | 242 | 1.9741 | 1.9912 | 0.8639 | 0.6948 | 0.7147 | 2.8659 |
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: voltage at transformer bus before switching (p.u.), L. L.: line length (km), : voltage error (%), and : duration time error (%).
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