DocumentCode
3483301
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
fYear
2005
fDate
27-30 June 2005
Firstpage
1
Lastpage
7
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/PTC.2005.4524502
Filename
4524502
Link To Document