| The continuous rising demand of energy and escalating environmental concerns about conventional energy sources,it is impossible to fulfill the future energy demand with carbon emission based energy sources,as a result,the generation of energy from renewable sources has attracted the attention of the whole world.Firstly,the mathematical model of each component of an autonomous hybrid solarwind energy system with energy storage is developed and solar-wind resources are comprehensively analyzed for a proposed remote island.To accommodate the fluctuation of renewable sources and inherent uncertainty,a detailed study is performed considering the saturation level of each involved renewable energy resources,indicating that smaller size of wind turbine with 90% saturation of wind energy is the cost-effective system for the proposed remote island.Besides,the effects of comparatively and gradually changing in saturation of renewable sources on different system economic and technical parameters are analyzed.Moreover,an optimization framework,sighting the different cases of loss of power supply probability(LPSP),is developed to techno-economically analyze the off-grid hybrid system using genetic algorithm(GA)and the results are compared with widely-used HOMER software,illustrating that GA method can output a more optimal system than HOMER in respect of cost and system reliability.Furthermore,the simulated performance of the system and the effects of LPSP,the variation of load and renewable energy resources on system cost are analyzed.Sensitivity analysis reveals that the proposed hybrid system is fully capable to meet the designed load. |
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