Enhanced Evolutionary Computing Based Load Sensitive Hybrid RES in Belagavi,India

Abstract

This paper demonstrates the use of Hybrid Power System in Belagavi Taluk of Karnataka State ,Indian Country.Themeterological Data of solar radation and wind speed from NASA surface and solar energy database has been taken (latitude  15.54°N and longitude 74.48°E).Presently many Hybrid Resources using Diesel generator as a backup source in Hybrid Systems,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 Belagavi for around 160 family 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 ,where PID parameter is tuned through different Evolutionary Algorithm approaches like HSS & FPA.

Keyword : Renewable Energy Sources, Wind-Turbine,NASA Surface and Solar Energy Database,Google Earth, Photovoltaic, Hybrid-RES, Load Sensitive EMS control, Evolutionary Algorithms.

  Submitted

Oct 20, 2017

Published

Oct 20, 2017

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