Adaptive three-phase autoreclosure for double-circuit transmission systems using neural networks

The paper proposes a novel adaptive three-phase autoreclosure technique for double circuit power systems using a neural network approach. Based on the investigation of digital simulation of various types of fault on such power systems, some salient features are summarized and extracted which are then used as the inputs of neural networks. A three-layer neural network is constructed, trained and tested. The results indicate that the proposed approach is very reliable