Radial Basis Function Neural Network based Approach to Estimate Transformer Harmonic Overvoltages
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| Title | Radial Basis Function Neural Network based Approach to Estimate Transformer Harmonic Overvoltages |
| Authors | |
| Abstract | This paper present an approach to evaluate overvoltages caused by transformer switching based on Radial Basis Function Neural Network (RBFNN). Such an overvoltage might damage some equipment and delay power system restoration. The developed ANN is trained with the worst case of the switching condition, and tested for typical cases. The simulated results for a partial of 39-bus New England test system, show that the proposed technique can estimate the peak values of switching overvoltages with good accuracy. |
| Publisher | World Science Publisher |
| Date | 2012-01-22 |
| Source | 2166-2924 |
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