Optimal Economical Sizing of Grid-Connected Hybrid Renewable Energy System

Abstract

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 Northeast 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). Nomenclature  CPU Central processing unit DPSP Deficiency of power supply probability EC Energy cost EPG Excess power generated HES Hybrid energy system HRES Hybrid renewable energy system HOMER Hybrid optimization model for electric renewables LCC Life cycle cost LPSP Loss of power supply probability LOLP Loss of load probability LEC Levelized energy cost LUC Life cycle unit cost LUEC Levelized unit electricity cost NEPS Northeast power system REPG Relative excess power generated RES Renewable energy system SEPS Southeast power system TED Total energy deficit TNPC Total net present cost UEP Unutilized energy probability Corresponding author: Mohammad Masih Sediqi, master student, research fields: renewable energy economics, energy storage and power optimization.