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Communication Dans Un Congrès Année : 2022

Multi-objective optimisation of technical wind turbines parameters based on multi-physical models

Résumé

This paper presents a decision tool for the optimisation of wind turbine technical parameters, using a multi-physical model of the power system. This includes a multi-physical modelling of aerodynamical, mechanical and electro-mechanical system behaviours. The aerodynamics is based on a blade element momentum model. A mass model of wind turbines components is also used in this paper. The optimisation is performed with NSGA-II algorithm which may choose technical parameters (blade length, transmission ratio or electro-mechanical coefficient in this example) to maximise performances indicators (in this example the output electrical power and the wind turbine mass). The results provide a wide range of solutions that are the best compromises between the performances indicators chosen. The diversity in terms of parameters allows great latitude in the design of wind turbine.
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Dates et versions

hal-03776387 , version 1 (13-09-2022)

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Thomas Amoretti, Florian Huet, Pierre Garambois, Lionel Roucoules. Multi-objective optimisation of technical wind turbines parameters based on multi-physical models. ICREPQ, Jul 2022, Vigo, Spain. ⟨10.24084/repqj20.406⟩. ⟨hal-03776387⟩
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