Mitigation of Capacitor Banks Switching Overvoltages Using Radial Basis Function Technique
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| Title | Mitigation of Capacitor Banks Switching Overvoltages Using Radial Basis Function Technique |
| Authors | |
| Abstract | Due to reactive power compensation reasons, capacitor banks are necessary in power systems. Capacitor banks switching causes transient overvoltages which is noticeable in primary distribution systems. In this paper an Artificial Neural Network (ANN)-based method is proposed to estimate transient overvoltages caused by capacitor energization. Radial basis function structure has been used for ANN training. ANN training is based on equivalent parameters of the network, so that its applications can be performed for every studied system. This technique can help the operator to select the proper condition of capacitor switching with minimum transients overvolatges without time simulations. The developed ANN is trained with the extensive simulated results, and tested for typical cases. Then the new algorithms are presented and demonstrated for a partial of 39-bus New England test system. The simulations results show the acceptable accuracy in results obtained in estimation of peak values of switching overvoltages with proposed technique. |
| Publisher | World Science Publisher |
| Date | 2012-01-20 |
| Source | 2167-633X |
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