Transactions of Nanjing University of Aeronautics & Astronautics
Special Issue for Wind Turbine
A Vector Dominating Multi-objective Evolution Algorithm for Aerodynamic-Structure Integrative Design of Wind Turbine Blade
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Abstract:
A novel multi-objective optimization algorithm incorporating vector method and evolution strategies, referred as VD-MOEA, has been established and applied in the field of aerodynamic-structure integrative design of wind turbine blades. The main characteristics of the new algorithm are that a set of virtual vectors are elaborately constructed guiding population to fast move forward to the Pareto optimal front and dominating the distribution uniformity with high efficiency. In comparison with conventional methods, VD-MOEA displays dramatic improvement of algorithm performance in both convergence and diversity preservation for handling complex problems of multi-variables, multi-objectives and multi-constraints. Subsequently as an example, a 1.5MW wind turbine blades are designed and analyzed taking maximum annual energy production, minimum blade mass, and minimum blade root thrust as the optimization objectives. The results indicate that the Pareto optimal set can be obtained in one single simulation run, and the obtained solutions in the optimal set distribute quite uniform which maximally maintains the population diversity. The efficiency of VD-MOEA has been elevated about two orders of magnitude in comparison with classical NSGA-II. This provides a reliable high-performance optimization approach for the aerodynamic-structure integrative design for wind turbine blade.
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