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基于响应面(RSM)优化设计方法进行了水平轴风力机(HAWT)叶片的多目标优化设计研究。风力机气动性能预测使用基于动量叶素(BEM)理论的性能分析和反设计程序PROPID51。设计目标为功率系数和年发电量的最大化,设计变量为叶片径向站位上的弦长和扭转角分布。响应面模型使用不含二阶交叉项的二阶多项式,可在保证模型精度的同时大大减小计算花费;构造模型时试验点的选择满足D-优化准则;使用统一目标函数法将多个设计目标统一到一个目标函数中。以某1.5MW变距型风力机叶片为例,径向使用新设计的WA-族高性能风力机专用翼型,进行叶片多目标多约束优化设计研究;分析统一目标函数中权值分配对设计结果的影响,并分别使用CFD计算的翼型气动数据和风洞测量气动数据作为输入进行设计,分析两种数据对设计结果的影响及叶片前缘污染对风力机气动性能的影响。
Multi-objective optimization design of horizontal axis wind turbine (HAWT) blades is studied based on response surface (RSM) optimization design method. Wind Turbine Aerodynamic Performance Prediction Using Property Analysis and Inverse Design Program PROPID51 Based on BEM Theory. The design objective is to maximize the power factor and annual power generation. The design variables are the chord length and twist angle distribution at the blade radial station. Response surface model using second-order polynomials without second-order cross-terms can greatly reduce the computational cost while ensuring the accuracy of the model. The selection of test points satisfies the D-optimization criterion when constructing the model. Using the unified objective function method, The goal is unified into one objective function. Take a 1.5 MW pitch wind turbine blade as an example, the radial design of the newly designed airfoil for the WA-family of high-performance wind turbine is used to study the multi-objective and multi-constrained optimization design of the blade. The analysis of the weight distribution in the uniform objective function The airfoil aerodynamic data calculated by CFD and aerodynamic data of wind tunnel measurement were used as input respectively to analyze the influence of the two data on the design results and the influence of blade leading edge pollution on aerodynamic performance of wind turbine.