Optimal sizing method for grid connected renewable energy system under Algerian climate

This paper presents a novel approach for optimal sizing of grid connected hybrid renewable energy systems including photovoltaic generator, wind turbine and without storage devices. A novel grid power absorption probability (GPAP) parameter is introduced as a decision variable in the optimization procedure. The sizing optimization consists on the identification of a cost effective feasible configuration with a permissible level of grid power purchase. The proposed approach has been tested on a case study of a residential load in Ghardaia city (northern-central Algeria). The optimized system offers a 65% renewable electricity fraction with a 0.47 grid power absorption probability and a total cost of 5788$.