Optimization of a Grid-Connected Photovoltaic System in a Densely Populated Residential Community

Bernard Atta Adjei *

Department of Mathematics and Statistics, University of Energy and Natural Resources, Ghana.

Elvis K. Donkoh

Department of Mathematics and Statistics, University of Energy and Natural Resources, Ghana.

Dominic Otoo

Department of Mathematics and Statistics, University of Energy and Natural Resources, Ghana.

Emmanuel De-Graft Johnson Owusu-Ansah

Department of Mathematics, Kwame Nkrumah University of Science and Technology, Ghana.

Francois Mahama

Department of Mathematics and Statistics, Ho Technical University, Ghana.

*Author to whom correspondence should be addressed.


Abstract

In Ghana, the majority of reliable electricity is generated in centralized plants. This type of electricity generation structure undoubtedly contributes to the economic rise in electricity tariffs and transmission losses due to the operational cost of such plants and their vast distances from the communities respectively. In this paper, Linear Programming was used to nd the optimal power dispatch of a decentralized grid-connected photovoltaic system in the form of a microgrid for a minimum cost of electricity. The fundamental LP problem was optimized in AMPL (A Modeling Language for Mathematical Programming) properly employing the CPLEX solver. In the case study, the involvement of microgrid in the energy sector convincingly demonstrated a daily cost of GHS63,426.23 in the rst ve years accurately representing 18% potential reduction. This cost reduction will be increased tremendously to 75% in subsequent years. This is a lower energy bill as compared to the bill of the existing electricity structure.

Keywords: Linear programming, cost of operation, grid-tie, AMPL, dispatch.


How to Cite

Adjei, Bernard Atta, Elvis K. Donkoh, Dominic Otoo, Emmanuel De-Graft Johnson Owusu-Ansah, and Francois Mahama. 2019. “Optimization of a Grid-Connected Photovoltaic System in a Densely Populated Residential Community”. Journal of Advances in Mathematics and Computer Science 33 (2):1-16. https://doi.org/10.9734/jamcs/2019/v33i230175.

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