An Optimal Geospatial Model for Efficient Power Distribution Management in Enugu Nigeria

Abstract

Inefficient power management constitute one of the most expensive costs in an organization, especially when multiple networks of Transformer (DSS) are involved. There has been obvious lack of detailed maps of electricity facilities in terms of spatial and attribute information, as well as the lack of proper identification of energy consumers in the network of distribution in terms of proximity to DSS. This has made management of power infrastructure difficult in most Nigerian cities. Therefore, this paper presents an optimal geospatial model with a view to enhancing energy distribution, accessibility and management. The study area covers the Hilltop feeder of Enugu Electricity Distribution Company (EEDC), Enugu state. Coordinates of selected power assets location, user points and building footprints were acquired using hand-held Globa positioning system (GPS) receiver as well as other attribute information on power infrastructure and users as obtained from EEDC GIS cloud. The data were manipulated in QGIS environment and rule-based relational database was created. Several connectivity models were generated which were integrated to realised the desired power management model. The model was validated by performing fault tracing to identify location of faults and detecting poles and user connectivity for evaluation of impact level and enhances planning for maintenance. The results revealed that there are 204 buildings, 106 electric poles, 117 direct customer connectivity, 32 indirect connectivity and 91 unconnected individuals at the Ngwo service area. Furthermore, the model has the ability to minimised the challenges faced by power operators in detecting fault and control power usage. Therefore, exploring the potential of this model in mitigating power management challenges in Nigeria would be remarkable.