Model of a hybrid distributed generation system for a DC nano-grid

Abstract

A large part of the world's population lives in geographically isolated, remote and sparsely populated rural areas. Nanogrids using hybrid energy systems (HES) based on photovoltaics (PV) and wind farms are considered an effective option to electrify remote and isolated areas that are far from conventional grids. This is applicable to areas that receive high average solar radiation and sufficient average wind speed annually. In this research, a solar photovoltaic and wind hybrid DC nanogrid, with energy storage and a diesel generator, was modeled, simulated and optimized. A site survey was carried out and wind resource and solar radiation data were obtained to calculate the load. solar system for load forecasting and system modelling. HOMER software was used for system modeling. system. The optimization of the minimum cost of the system was carried out from the installation, taking into account the costs of the system components, the hourly solar radiation and the qualification parameters as inputs in the simulation program. Sensitivity variables were specified to examine the effect of their uncertainties on system performance. The economic and environmental analysis indicated that it is more advisable to electrify remote settlements using a DC nano-grid based on hybrid systems with multiple renewable sources, as they have lower running costs and are more environmentally friendly due to less reliance on electricity generating units. diesel. of diesel generation units.