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
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