Design and Development of Hybrid PV-Wind Renewable Energy System using Improved Hybrid Optimization Genetic algorithm
A hybrid renewable energy system is a combination of two or more energy sources that are used to provide loads on a scheduled basis. One of the most important applications of renewable energy systems is the installation of well-designed hybrid energy systems in remote areas where grid expansion is difficult and economically limited. . But the proper design of such a system is a task as difficult as the coordination between different energy sources; Energy reserves and needs are complex. Optimizing a hybrid renewable energy system is the process of selecting the right components, sizing and control strategies to provide efficient, reliable and socially beneficial alternative energy. This document highlights the design of an optimized hybrid renewable energy system consisting of a photovoltaic generator, a wind generator with batteries and a converter. The system was optimally simulated using the IHOGA (Improved Hybrid Optimized Genetic Algorithm) engine. This document also describes the sensitivity analysis of the hybrid system which makes it possible to approach the effect of uncertainty or variation of the variable and find the most suitable solution for the hybrid system. Verify the results in matlab/simulink.