Determination of Optimal Locations of Electric Vehicle Charging Stations in Central Kampala

dc.contributor.author Aryeija T, Annie Tracy
dc.date.accessioned 2024-11-21T12:00:02Z
dc.date.available 2024-11-21T12:00:02Z
dc.date.issued 2024-11-21
dc.description A research report submitted to the College of Engineering Design and Art in partial fulfillment of the requirement for the award of a degree Bachelor of Science Civil Engineering of Makerere University. en_US
dc.description.abstract Uganda is in its preliminary stages of adopting electric vehicles (EVs) with an aim to ensure that 25% of its vehicle fleet consists of purely electric vehicles. To achieve this goal, it is essential to increase the number of publicly accessible Electric Vehicle Charging Stations. This, in turn, will contribute to the development of sustainable transport. The focus of this research is to identify feasible locations for charging stations and to evaluate their potential impact on the electricity grid in Central Kampala Division. To achieve this, a combination of ArcGIS and DigSILENT is utilized. ArcGIS is employed for location suitability analysis, while DigSILENT is used to assess the effects on the grid. The study investigates three types of charging station locations: enroute charging, destination charging, and those outlined in a reference paper for comparison. The methodology consists of a GIS-based suitability analysis to pinpoint feasible locations for charging stations taking into account factors such as accessibility, proximity to major roads, and demand density. Subsequent to this, DigSILENT simulations are employed to evaluate the consequences of these charging stations at the EV penetration levels of 10%, 20%, and 30% on crucial grid parameters, including feeder loading, transformer loading, feeder voltage drop, and line losses. The simulation results demonstrate that as the penetration levels rise, there is an increase in feeder maximum loading, maximum voltage drop, feeder losses, and transformer loading. However, the loading of the various components does not exceed the acceptable limits of 80%, and the voltage deviation does not exceed ±10% either. In terms of their effect on the electricity grid, destination charging stations show the least impact when compared to enroute charging points and reference locations. Consequently, the study suggests that the identified locations should be upgraded into robust charging centres that can accommodate increased demand. Furthermore, the implementation of smart charging systems is recommended to effectively manage grid impact and reduce the possibility of grid overloads, thereby enhancing overall system reliability. en_US
dc.identifier.citation Aryeija T, Annie Tracy. (2024). Determination of Optimal Locations of Electric Vehicle Charging Stations in Central Kampala. (Unpublished undergraduate Research Report) Makerere University; Kampala, Uganda. en_US
dc.identifier.uri http://hdl.handle.net/20.500.12281/19399
dc.language.iso en en_US
dc.publisher Makerere University en_US
dc.subject Electric Vehiclea en_US
dc.subject Charging Stations en_US
dc.title Determination of Optimal Locations of Electric Vehicle Charging Stations in Central Kampala en_US
dc.type Thesis en_US
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