Optimal Economical Sizing of Grid-Connected Hybrid Renewable Energy System

In this paper, an optimized model is proposed to find the best values for decision variables to optimize the grid connected hybrid renewable energy system which consists of photovoltaic panels, wind turbines and battery bank for electrification to North-east region of Afghanistan to meet winter power shortages of the area. In the proposed model, there are three decision variables namely, the total area occupied by the set of PV panels, total swept area by the rotating turbines’ blades, and the number of batteries. GA (genetic algorithm) is defined to find the optimal values of the decision variables. The objective of this research is to minimize the LCC (life cycle cost) of the hybrid renewable energy system, and ensuring at the same time systems reliability level which is measured in terms of LPSP (loss of power supply probability).