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Optimal sizing study of hybrid wind/PV/diesel power generation unit using genetic algorithm
20
Citations
18
References
2013
Year
Unknown Venue
EngineeringEnergy System DesignEnergy EfficiencyTotal System CostHybrid DesignTotal System Cost/emissionEnergy Systems EngineeringOptimal System DesignEnergy OptimizationGenetic AlgorithmSystems EngineeringHybrid Optimization TechniquePower GenerationRenewable Energy SystemsElectrical EngineeringPower System OptimizationHybrid Energy SystemHybrid Energy SystemsEnergy Management
A methodology of sizing optimization of a stand-alone hybrid wind/PV/diesel energy system with battery storage is addressed in this article. The aim is to find the optimal number of units guaranteeing that the life time round total system cost/emission is minimized subject to the constraint that the load energy necessities are completely covered. The system is optimized using genetic algorithms and the formulation of the problem is detailed. The optimization focusses on the total system cost and the reduction of Co <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> emission for the given hybrid design. Finally, an optimal configuration is obtained with a lifetime of 20 years. The optimized parameters are also given.
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