Sizing optimization tool for wind/photovoltaic/battery plant considering potentials assessment and load profile

Covering the energy demand of typical consumers in remote area on the basis of maximizing the renewable energies exploitation represents the main aim of most governments. Such project requires as a first step an efficient sizing of renewable energy plants. In this context, this work proposes an optimum sizing algorithm of a standalone hybrid system components: wind generator, photovoltaic panel, lead acid-battery bank, and water tank. The strategy starts by renewable potentials (solar and wind) assessment. Different generators models are developed then coupled to the established potentials in order to compute the renewable generations. Optimal plant components sizes are computed thanks an iterative approach based on the meeting of renewable generations to load profile. Representative case study of Sfax, Tunisia is investigated, offered need energetic satisfaction of agricultural farm.