Deterministic Optimization and Cost Analysis of Hybrid PV/Wind/Battery/Diesel Power System

This paper focuses on the development of a deterministic approach for optimum sizing of the hybrid power systems (PV/wind/battery/diesel and PV/wind/diesel) based on the DIviding RECTangles (DIRECT) algorithm, which can attain the optimum values of commercially available system devices ensuring that the system total investment cost is minimized while guaranteeing the electricity requirements of the customers and the safety of the system. The hybrid power systems are assumed to be installed at an Experimental Remote Ecological Area (EREA), France, with 5-year period of average hourly data (solar radiation, wind speed, ambient temperature and electrical power demand of the load). Finally, the optimum values obtained of the system components during a period of 20-year are obtained including the number of PV modules, the PV module surface area, the number of wind turbines, the wind turbine installation height, the battery bank number and the diesel generator operating hours with their lowest system total investment costs. Additionally, a detailed analysis of the System Total Investment Cost (STIC), structure of the hybrid PV/wind/battery/diesel power system and an impact of optimum system configuration on system performance are compared and discussed in the case studied.