南京工业大学学报（自然科学版）2024，Vol.46Issue(1)：65-73,9.DOI:10.3969/j.issn.1671-7627.2024.01.008
风力机涡流发生器斜向布局多目标优化
Multi-objective optimization of oblique layout of wind turbine vortex generator
摘要
Abstract
Based on the optimal Latin hypercube test design method,the oblique layout parameters and test scheme for the vortex generator were determined.The thrust and torque of the wind turbine were calculated by coupling computational fluid dynamics(CFD)and sliding grid technique.An aerodynamic performance model for the vortex generator of the wind turbine in an oblique layout was established by coupling back propagation(BP)neural network with a genetic algorithm.Through five groups of test cases,the aerodynamic performance model was refined with a genetic algorithm optimized BP neural network.The model showed minimal error and root mean square value between the predicted and simulated aerodynamic performance,indicating its high accuracy.Coupled with multi-objective genetic algorithm,a multi-objective optimization method for the oblique layout of the wind turbine's vortex generators was constructed to facilitate the optimization of the vortex generators.The results showed that the optimized vortex generator,in comparison with the original scheme,increased the maximum vorticity of the induced vortex by 10.47％,effectively suppressing the flow separation at the wind turbine blade section.In addition,the power of the wind turbine was increased by 9.963％,while the thrust was only marginally increased by 1.864％.Thereby,the aerodynamic performance of the wind turbine was further improved.关键词
BP神经网络/多目标遗传算法/涡流发生器/斜向布局/气动性能/风力机Key words
BP neural network/multi-objective genetic algorithm/vortex generator/oblique layout/aerodynamic performance/wind turbine分类
信息技术与安全科学引用本文复制引用
雍天,谭剑锋,邢肖兵,杨宇霄,夏云松..风力机涡流发生器斜向布局多目标优化[J].南京工业大学学报（自然科学版）,2024,46(1):65-73,9.基金项目
国家自然科学基金(12172165) （12172165）
江苏省自然科学基金(BK20211259) （BK20211259）
旋翼空气动力学重点实验室开放课题(RAL20200302) （RAL20200302）
