Power supply restorative automation in distributive networks

The method and program complex realization for restoration scheme search of a power consumption in networks on the basis of algorithm processing of the network count and artificial neural networks (ANN) are proposed and given reason. Both algorithms work in a competing mode, mutually smoothing lacks of each separate method. Work complex principles, in particular, concerning application of the generalized error vector for ANN self-training and solution stability are theoretically proved. The program complex realized as a part for "the adviser of the distributive network dispatcher", was tested on a 201 buses, 7 sources and 227 lines distribution network and one has shown good results.