An analysis of the Ghanaian power generation sector using an optimization model

Felix Amankwah Diawuo, Jacek Kaminski


The Ghana power sector has faced several challenges in the area of supply-demand balances alongside electricity tariff
regulations, in particular during the past decade. This has had direct consequences on its ability to meet increasing demand.
Other issues are expected to arise in the future, such as the introduction of carbon tax and a move to renewables to reduce
atmospheric emissions. This paper addresses these issues through creating scenarios and making comparisons, which
provide ideas on how these situations might affect the generation mix and the cost of generation. To this end a shortrun
computable model of the Ghana power generation system was developed to analyze those scenarios. The model is
developed in the General Algebraic Modelling System (GAMS) as a Linear Programming problem.


Ghana Power Sector, Scenarios, Linear Programming, Generation Cost, Emission, Sluppy-Demand Forecast & Generation Mix

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