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dc.creatorKinuthia, Augustine Muturi
dc.creatorKimani, Stephen
dc.date05/20/2013
dc.dateMon, 20 May 2013
dc.dateMon, 20 May 2013 19:02:33
dc.dateMon, 20 May 2013 19:02:33
dc.date.accessioned2015-03-18T11:28:57Z
dc.date.available2015-03-18T11:28:57Z
dc.identifierG70.212.M88 2008
dc.identifier.urihttp://hdl.handle.net/11071/3556
dc.descriptionThesis submitted in partial fulfillment for award of the degree of Master of Information Technology at Strathmore University. Complete thesis.
dc.descriptionThe purpose of this study is to present a GIS based decision model for determining the best path for connection to a power distribution network. The model was derived from studies that consider the design of the power distribution system and the GIS field of network analysis along with the method used by KPLC for connecting premises to the distribution network. A digital map of the study area and the distribution network was generated and taking into account the distributors and distribution transformers the best path between the premises and the transformer was derived. In this study it is demonstrated that the distributors’ length and size and the distribution transformers’ capacity, load and location influence the connection of premises to the distribution network. The results also show that combining geospatial methods with the power distribution network enables engineers to visualize the spatial distribution of data in maps which yields better insight into the nature of the power distribution network.
dc.description.abstractThe purpose of this study is to present a GIS based decision model for determining the best path for connection to a power distribution network. The model was derived from studies that consider the design of the power distribution system and the GIS field of network analysis along with the method used by KPLC for connecting premises to the distribution network. A digital map of the study area and the distribution network was generated and taking into account the distributors and distribution transformers the best path between the premises and the transformer was derived. In this study it is demonstrated that the distributors’ length and size and the distribution transformers’ capacity, load and location influence the connection of premises to the distribution network. The results also show that combining geospatial methods with the power distribution network enables engineers to visualize the spatial distribution of data in maps which yields better insight into the nature of the power distribution network.
dc.formatNumber of Pages:66 p.
dc.languageeng
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dc.subjectKenya power and lightning company
dc.subjectGIS model
dc.titleA GIS decision based model for determining the best path for connection to a power distribution network a case study of Kenya power and lighting company limited
dc.typeThesis


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