Backtracking Search Algorithm for Total Cost Optimization of Hybrid Renewable Pv/wind System Coupled With Battery Storage

Abstract

Hybrid renewable energy sources can be seen as one of the most used way to electrify remote area. They are more suitable for loads with variation in a daily basis demand. In order to size up optimally the hybrid PV/Wind system coupled with battery storage, the proposed technique is based on meteorological data to determine the electrical power produced by PV panels and wind turbine generators. Once this power is determined, the total renewable energy cost per year and the system reliability are optimized for two different scale factor f. To do so, a Backtracking Search algorithm (BSA) is used and thoroughly described throughout this paper. Moreover, some results are carried out concerning the penalty factor ɷ to highlight the impact of this factor on the rate of renewable energy (RELD).