Evaluation of Shunt Reactor Overvoltages Using Back Propagation Neural Network
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| Title | Evaluation of Shunt Reactor Overvoltages Using Back Propagation Neural Network |
| Authors | |
| Abstract | Overvoltages caused by core saturation on the energization of a shunt reactor with residual flux are investigated in this work. Such an overvoltage might damage some equipment and delay power system restoration. Artificial neural network (ANN) is addressed in this work, in order to estimate the temporary overvoltages (TOVs) due to reactor energization. In proposed methodology, Levenberg–Marquardt method is used to train the multilayer perceptron. 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 and duration of switching overvoltages with good accuracy. |
| Publisher | World Science Publisher |
| Date | 2012-02-05 |
| Source | 2166-2916 |
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