Regresar

Reliability of Wind and Solar Energy in the Electric Generation System Using Computational Methods

Abstract:

This research includes the results of the integration of wind and solar energy in the electricity generation system by substituting conventional energy. The renewable resource data used correspond to the province of Loja in Ecuador, where the Villonaco Wind Farm is currently operating and thermosolar and photovoltaic energy projects are being developed, where the peak demand data of 30.27 MW was used. To verify the reliability of renewable energies, four case studies have been established, and reliability indexes and capacity cbkp_redit have been calculated, using the Matlab tool, through the Monte Carlo method which is a numerical statistical method. The use of computational tools made it possible to verify the possibility of reducing conventional power generation plants while maintaining the reliability of the system. Therefore, the work carried out establishes a reliable tool for the integration of non-conventional renewable energies into the electric system. It concludes that wind, solar thermoelectric, and photovoltaic technologies not only improve the reliability of the system but also provide power that can be used to meet the demand of other sectors.