Genetic Algorithm Optimization for DC Micro Grid Design, a Case of Study
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DOI: https://doi.org/10.15866/iree.v12i4.11544
Abstract
Generation of electric energy through renewable sources remains an important task, due to the increased interest in production of green energy around the world. In the past 20 years, several efforts have been made to optimize network planning, as well as production and operation of power systems in standalone and distributed configurations to guide evolution towards Smart Grids. Optimization of the power grid has been mainly focused on power dispatch, forecasting, and efficient and reliable production and distribution. Such optimization problems present optimal results with the use of conventional tools; however, and despite the incredible advances in that regard, the non-linear and non-convex nature of such an optimization problem require more complex processing techniques. With the aim of providing a tool to calculate micro grid systems, this article shows the development of an optimization algorithm used to calculate the better configuration for a micro grid implementation based on photovoltaic panels and batteries layout.
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