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