A 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
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Abstract
The 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.
Description
Thesis submitted in partial fulfillment for award of the degree of Master of Information Technology at Strathmore University. Complete thesis.
The 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.
The 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.
Keywords
Kenya power and lightning company, GIS model