Title :
Combined method of a distribution network reconfiguration for power supply restoration
Author :
Uspensky, M.I. ; Kyzrodev, I.V.
Author_Institution :
Russian Acad. of Sci., Syktyvkar
Abstract :
A combined supply restoration method that unites the competing scheme search processes on the basis of the graph research algorithm and the artificial neural network is offered. The neural network function in the self-learning mode under control of the generalised error vector is shown. The method and algorithm of vector definition are given.
Keywords :
distribution networks; graph theory; neural nets; power engineering computing; power supply quality; artificial neural network; distribution network reconfiguration; generalised error vector; graph research algorithm; power supply restoration; self-learning mode; Artificial neural networks; Automatic control; Circuit faults; Computer networks; Error correction; Power supplies; Power system reliability; Power system restoration; Sampling methods; Voltage; Operating control; artificial neural network; distribution network; graph; supply restoration;
Conference_Titel :
Power Tech, 2005 IEEE Russia
Conference_Location :
St. Petersburg
Print_ISBN :
978-5-93208-034-4
Electronic_ISBN :
978-5-93208-034-4
DOI :
10.1109/PTC.2005.4524502
