Evolutionary Algorithm Based Optimization of Hybrid Renewable Energy System in Hosapete,India

Abstract This paper demonstrates the use of Hybrid Power System in Hospet Taluk of Karnataka State ,Indian Country.The meterological Data of solar radation and wind speed from NASA surface and solar energy database have been taken (latitude 15.27°N and longitude 76.39°E).Presently many Hybrid Resources using Diesel generator as a backup source,where we again depend on fossil fuel or coal which is exhaustible,but in these paper we are completely demonstrating use of Hybrid wind/PV in Hospet for around 160 family of approx. 1200 People community and based on wind speed ,solar energy and available components,the optimization of Hybrid system is done and lastly demonstrated the economic advantages like cost,paypback period, compared to Conventional energy source.The cost Reduction is around 70% compared to Conventional Energy source.Finally the Hybrid RES reliability and power quality is improved using Optimization of Energy Management System(EMS) through PID Parameter tuning ,where PID parameter is tuned through different Evolutionary Algorithm approaches like Adaptive Genetic Algorithm and Particle Swarm Optimization. Keywords: Renewable Energy Sources, Wind-Turbine, Photovoltaic,NASA Surface and Solar Energy Database,Google Earth Hybrid-RES, Load Sensitive EMS control, Evolutionary Algorithms