Vector Dominating Multi-objective Evolution Algorithm for Aerodynamic-Structure Integrative Design of Wind Turbine Blade  

作　　者：Wang Long Wang Tongguang Wu Jianghai Ke Shitang 

机构地区：[1]Jiangsu Key Laboratory of Hi-Tech Research for Wind Turbine Design,Nanjing University of Aeronautics and Astronautics

出　　处：《Transactions of Nanjing University of Aeronautics and Astronautics》2016年第1期1-8,共8页南京航空航天大学学报（英文版）

基　　金：funded jointly by the National Basic Research Program of China(″973″Program)(No2014CB046200);the National Natural Science Foundation of China(No.51506089);the Jiangsu Provincial Natural Science Foundation(No.BK20140059);the Priority Academic Program Development of Jiangsu Higher Education Institutions

摘　　要：A novel multi-objective optimization algorithm incorporating vector method and evolution strategies,referred as vector dominant multi-objective evolutionary algorithm(VD-MOEA),is developed and applied to the aerodynamic-structural integrative design of wind turbine blades.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 to conventional evolution algorithms,VD-MOEA displays dramatic improvement of algorithm performance in both convergence and diversity preservation when handling complex problems of multi-variables,multi-objectives and multi-constraints.As an example,a 1.5 MW wind turbine blade is subsequently designed taking the maximum annual energy production,the minimum blade mass,and the minimum blade root thrust as the optimization objectives.The results show that the Pareto optimal set can be obtained in one single simulation run and that the obtained solutions in the optimal set are distributed quite uniformly,maximally maintaining the population diversity.The efficiency of VD-MOEA has been elevated by two orders of magnitude compared with the classical NSGA-II.This provides a reliable high-performance optimization approach for the aerodynamic-structural integrative design of wind turbine blade.A novel multi-objective optimization !algorithm incorporating vector method and evolution strategies, re- ferred as vector dominant multi-objective evolutionary algorithm （VD-MOEA）, is developed and applied to the aerodynamic-structural integrative design of wind turbine blades. A set of virtual vectors are elaborately construc- ted, guiding population to fast move forward to the Pareto optimal front and dominating the distribution uniformity with high efficiency. In comparison to conventional evolution algorithms, VD-MOEA displays dramatic improve- ment of algorithm performance in both convergence and diversity preservation when handling complex problems of multi-variables, multi-objectives and multi-constraints. As an example, a 1.5 MW wind turbine blade is subse- quently designed taking the maximum annual energy production, the minimum blade mass, and the minimum blade root thrust as the optimization objectives. The results show that the Pareto optimal set can be obtained in one single simulation run and that the obtained solutions in the optimal set are distributed quite uniformly, maximally maintaining the population diversity. The efficiency of VD-MOEA has been elevated by two orders of magnitude compared with the classical NSGA-II. This provides a reliable high-performance optimization approach for the aer- odynamic-structural integrative design of wind turbine blade.

关 键 词：wind turbine multi-objective optimization vector method evolution algorithm 

分 类 号：TM614[电气工程—电力系统及自动化]