Optimization Design of Wind/Photovoltaic Hybrid Power Systems Based on Genetic Algorithms

Lu Li; Zhong Fu Tan

doi:10.4028/www.scientific.net/AMM.278-280.1692

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 278-280Optimization Design of Wind/Photovoltaic Hybrid...

Optimization Design of Wind/Photovoltaic Hybrid Power Systems Based on Genetic Algorithms

Abstract:

Wind power and solar energy power are clean, abundant and renewable. Wind power and photovoltaic power are important alternative energy in the world, which will contribute to adjusting energy structures and protecting environments. The genetic algorithm has the characteristics of automatic optimization and approaches the simulate stuff illimitably. Also, there has no use for accurate model on questions, which is very suitable in the non-linear system. The wind/photovoltaic hybrid systems consist with wind power generation units, photovoltaic matrix, storage battery, diesel engine and data collection and control. This paper optimized the wind/photovoltaic hybrid system using genetic algorithm. The result showed the efficiency of this algorithm in the design of this kind of non-linear system. On the other hand, this hybrid system is strongly non-linear when is running. Finally, abundant operating expenses and maintains expenses will be saved by using genetic algorithm in its dynamic management according to the change of load, wind power and irradiation.

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Periodical:

Applied Mechanics and Materials (Volumes 278-280)

Pages:

1692-1695

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.278-280.1692

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Online since:

January 2013

Authors:

Lu Li, Zhong Fu Tan

Keywords:

Genetic Algorithm (GA), Optimization Design, Wind/Photovoltaic Hybrid Generation

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