Title :
Application of the self-organizing competition artificial neural network in distribution networks
Author_Institution :
Coll. of Electr. Eng. & New Energy, China Three Gorges Univ., Yichang, China
Abstract :
The reliability indices of distribution network are practically to reflect the structures and operate characteristics of the whole system. If there are many types of distribution networks need to be assessed, it is very difficult and waste to compute reliability indices repeatedly. In this case, it is very useful to define simple indices to determine distribution network reliability, and avoid terrible computation of indices. In this paper, a self-organizing competition ANN classifier was built to estimate load reliability of distribution network, with redefining indices, which combined reliability and topological structure of distribution network, and reflected the load failure rate. It was helpful to improve the efficiency of network reliability analysis.
Keywords :
neural nets; power distribution reliability; power engineering computing; self-adjusting systems; artificial neural network; distribution network reliability; load reliability; reliability index; self-organizing network; Artificial neural networks; Computational modeling; Load modeling; Reliability; Silicon;
Conference_Titel :
Computational Intelligence and Natural Computing Proceedings (CINC), 2010 Second International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7705-0
DOI :
10.1109/CINC.2010.5643841