@inproceedings{4c564ecdef4845d4819ed9c904e4a4b3,
title = "Optimal power dispatch of an off-grid renewable energy-based system using linear programming",
abstract = "The provision of electricity through renewable energy sources have become the pivot for sustainable development in most remote rural communities. This paper presents the optimal power dispatch of an off-grid hybrid energy system which consists of a solar PV, wind energy and small hydropower system. Linear programming technique is proposed to solve the optimization problem. The objective of the optimization problem is to minimize the cost of electricity taking into account the constraints of the hybrid energy system. A case study for a remote rural community in Zimbabwe is used for this study. The results show that the off-grid renewable energy system is able to supply the load demand of the rural community and it is therefore a feasible solution for energy provision in remote rural communities.",
keywords = "hybrid energy system, linear programming, optimization, renewable energy source, rural communities",
author = "Oliver Dzobo",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 57th International Universities Power Engineering Conference: Big Data and Smart Grids, UPEC 2022 ; Conference date: 30-08-2022 Through 02-09-2022",
year = "2022",
doi = "10.1109/UPEC55022.2022.9917588",
language = "English",
series = "2022 57th International Universities Power Engineering Conference: Big Data and Smart Grids, UPEC 2022 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2022 57th International Universities Power Engineering Conference",
address = "United States",
}
