Optimization of hydrogen based hybrid renewable energy system using HOMER, BB-BC and GAMBIT

Non-conventional energy sources contribute important role in the current environment world policy, assuring a competent way to reduce GHG emission causing a global warming. This work is based on simulation and optimization of non-conventional energy system of an auditorium of Police station Sagar at central India. For this hybrid system the meteorological data of solar insolation, hourly wind speeds are taken at the site considered. The pattern of load consumption is studied and suitably modeled for optimization of the hybrid energy system using HOMER software. The results are compared with that of BIG BANG CRUNCH (BBC) algorithm and GAME Theory based concept. Based on optimization result, it has been found that replacing conventional energy sources by solar-wind-Fuel Cell-Hydrogen tank energy system will be a feasible solution for distribution of electric power for standalone application. The paper employs GAMBIT software to optimize the system which is based on the GAME theory concept. At the last regression analysis to be to find out value of R-square, Durwin-Watson statistics.