DocumentCode :
2016349
Title :
A decision support tool for rural electrification grid design
Author :
Nyakudya, R. ; Mhlanga, S. ; Chikowore, T.R. ; Nyanga, L.
Author_Institution :
Dept. of Production Eng., Chinhoyi Univ. of Technol., Chinhoyi, Zimbabwe
fYear :
2013
fDate :
25-28 Feb. 2013
Firstpage :
1443
Lastpage :
1449
Abstract :
This paper investigates the optimization of the electricity grid network in rural community of Chegutu district, in Zimbabwe. The Kruskal´s algorithm is used to minimize the total distance of the network connections, thus optimise resources for carrying out projects. Rural Electrification Agency has been failing to meet their targets for extension of the electricity grid network because of shortage of resources and input capital, thus this research adopts the idea of network optimization as a way of saving resources so that they can be used for other projects. The optimisation process shows that a total of 74km of 11kV power line could be saved from the network.
Keywords :
decision support systems; minimisation; power cables; power engineering computing; power grids; power transmission lines; Chegutu district; Kruskal´s algorithm; Rural Electrification Agency; Zimbabwe; decision support tool; distance 74 km; electricity grid network optimization; network connections; network optimization; resource optimization; rural community; rural electrification grid design; total distance minimization; voltage 11 kV; Business; Communities; Educational institutions; Electricity; Optimization; Power grids; Power transmission lines; Electricity transmission line; Minimum spanning tree; Optimisation; Rural Electrification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Technology (ICIT), 2013 IEEE International Conference on
Conference_Location :
Cape Town
Print_ISBN :
978-1-4673-4567-5
Electronic_ISBN :
978-1-4673-4568-2
Type :
conf
DOI :
10.1109/ICIT.2013.6505884
Filename :
6505884
Link To Document :
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