DocumentCode :
1704832
Title :
A New Algorithm for Distribution Network Planning
Author :
Ke Xianbo ; Gao Weixin
Author_Institution :
Xi´an Jiao Tong Univ., Xi´an
fYear :
2006
Firstpage :
1
Lastpage :
4
Abstract :
This paper presents a new algorithm, which is based on Hopfield neural network, to plan distribution power network. The algorithm changes distribution network planning problem into a directed graph-planning problem. The Hopfield neural network is not designed to decide which alternative line should be selected, but to decide the in-degree of each node, so the calculation result is a radical directed graph. By this way, the distribution network is determined simultaneously. The energy function and algorithm for planning the distribution network are also given. An example shows the proposed Hopfield neural network can successfully plan distribution power network.
Keywords :
Hopfield neural nets; directed graphs; power distribution planning; power system analysis computing; Hopfield neural network; directed graph-planning problem; distribution power network planning; energy function; radical directed graph; Genetic algorithms; Hopfield neural networks; Investments; Mathematical model; Neural networks; Power system modeling; Power system planning; Substations; Urban planning; Voltage; Distribution Network; Neural network; Planning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power System Technology, 2006. PowerCon 2006. International Conference on
Conference_Location :
Chongqing
Print_ISBN :
1-4244-0110-0
Electronic_ISBN :
1-4244-0111-9
Type :
conf
DOI :
10.1109/ICPST.2006.321570
Filename :
4116117
Link To Document :
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