Optimal sizing of grid integrated hybrid PV-biomass energy system using artificial bee colony algorithm


This study presents an optimal sizing methodology for a stand-alone and grid connected PV-biomass hybrid energy system that serves the electricity demand of a typical village. But, this method is scalable and can be utilized in any check system. A recently developed artificial bee colony (ABC) algorithm is employed to detect out the optimum hybrid system configuration with the least levelised cost of energy while minimising annualised price of the system. It's been observed from the results that a grid connected hybrid PV-biomass system is value effective and reliable alternative for rural electrification as compared with stand-alone hybrid PV-biomass energy system. It's been emerged from this study that the proposed system offers reliable and cheap electricity during a sustainable method by harnessing locally out there natural resources. A transient comparison of results obtained from the ABC algorithm and hybrid optimisation model for electrical renewable (HOMER) has been dispensed. Moreover, it's conjointly observed from the results that the ABC algorithm provides better results as compared with HOMER.

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