Multi-Objective Optimization of Stand-alone Renewable Energy Hybrid System

Abstract

This paper shows the complete analysis of optimal configuration of hybrid system that uses solar, wind, diesel energy system along with battery and inverter. These systems are gaining popularity due to increasing energy costs and decreasing costs of wind turbines and solar panels. The only drawback of this system is their outputs depend on climatic conditions. The main goal is to optimize the configuration of the system as well as the control strategy that minimizes the total cost and emissions. This must be achieved through the useful life of the installation to meet the desired consumption and/or the pollutant emissions. Strength Pareto Evolutionary Algorithm to the multi-objective optimization of a stand-alone PV–wind–diesel system with batteries storage and inverter is applied. The objectives to be minimized are net present cost, CO2 emissions, and unmet load. Results show that hybrid renewable energy technology is the best suitable for stand-alone system.