Resumen

GARCIA-GARCIA, Jersson  y  OSMA-PINTO, German. Sizing and sensitivity analysis of a stand-alone microgrid using HOMER Pro. TecnoL. [online]. 2023, vol.26, n.56, e203.  Epub 20-Abr-2023. ISSN 0123-7799.  https://doi.org/10.22430/22565337.2565.

In recent years, the implementation and study of microgrids (MG) has increased. Their sizing depends on the input data (e.g., demand, microclimate, costs, and constraints), so that the variation of one or more of these can modify the optimal solution of the MG and its expected operation. Such variation occurs due to the economic, technological, or climatic context, so a sensitivity analysis was proposed to characterize its impact. In order to contribute to the application of sensitivity analysis in MG projects, the objective of this work was to study the impact of seven sensitivity variables (solar irradiation, wind speed, ambient temperature, minimum state of charge of the battery bank, fuel price, discount rate and inflation rate) on the sizing and economic and operational indicators of an isolated MG for residential users in a rural municipality of Colombia. The analysis was carried out using the HOMER Pro tool, and the main indicators analyzed were net present cost, energy cost, capital cost, operating cost and renewable fraction. The results allowed identifying that the most influential variables for the case study are fuel price, inflation rate, discount rate and solar irradiation; likewise, it appreciated the usefulness of HOMER Pro for this type of analysis and the convenience of the graphic representation to study the impact of the sensitivity variables. In addition, the variation of the input data influences the feasibility of results, as, for example, the net present cost decreases with increasing fuel price, ambient temperature, or inflation rate, while it increases with decreasing minimum state of charge, solar irradiance, or discount rate.

Palabras clave : Sensitivity analysis; HOMER Pro; economic indicators; technical indicators; stand-alone microgrid; sizing procedure.

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