多目标风力发电机叶片外形参数优化设计  

Optimum Design of Multi-target Wind Turbine Blade

作　　者：张帅[1] 魏源谊[2] 王震[1] 黄勇[1] ZHANG Shuai WEI Yuanyi WANG Zhen HUANG Yong(Shenyang Ligong University, Shenyang 110159, Liaoning, China Liaoning Institute of Architectural, Shenyang 110005, Liaoning China)

机构地区：[1]沈阳理工大学,辽宁沈阳110159 [2]辽宁省建筑设计研究院,辽宁沈阳110005

出　　处：《电网与清洁能源》2017年第4期125-130,共6页Power System and Clean Energy

基　　金：国家自然科学基金(61033004)~~

摘　　要：针对风力发电机叶片外形设计问题,文中提出了一种用于优化风力发电机叶片的优化工具包CoBOLDT(计算叶片优化和载荷缩小工具)。该优化工具包利用多目标禁忌搜索算法(Multiple Objective Tabu Search,MOTS)来控制样条函数参数化模块,采用快速几何形状生成和固定叶片元件动量(Blade Element Momentum,BEM)代码来优化初始的风力发电机叶片设计。研究中所采用的目标函数是在固定风速为50m/s条件下的年能量生产量(AEP)和叶片根部弯矩(MY0)。文中使用9个变量来定义叶片弦(4个变量)、叶片扭曲(4个变量)和叶片半径(1个变量);在整个优化过程中,定义了诸多二元约束以限制噪声的产生,从而允许在陆地上运输以及在发电机运行的所有阶段期间控制空气动力学条件。测试结果表明,MOTS能够快速和有效地找到优化的设计;优化的叶片设计可以使初始叶片的AEP提高5%,并具有相同的叶片根部弯矩,或者在初始AEP下将MY0降低7.5%。此外,文中还允许通过在每个叶片函数中引入更多参数来增加设计的灵活性。Aiming at the design problem of wind turbine blade shape, this paper presents an optimization package for optimizing the blade of wind turbine, CoBOLDT （calculation blade optimization and load reduction tool）. The optimization package uses a multi-target tabu search algorithm （MOTS）to control the spline function parameterization module and uses fast geometric shapes to generate and fix blade element momentum （BEM）eodes to optimize the initial wind turbine blade design, The objective function used in the study is the annual energy production（AEP）and the blade root moment （MYO）at a fixed wind speed of 50 m/s. In this paper, nine variables are used to define leaf chords（4 variables）, leaf twist（4 variables） and blade radius（ 1 variable）. Throughout the optimization process, a number of binary constraints are defined to limit the generation of noise, allowing for land transport and control of aerodynamics conditions at all stages of the generator operation. Test results show that MOTS can be very quickly and effectively find the optimal design. The optimized blade design increases the AEP of the initial blade by 5% and has the same blade root bend, or reduces MYO by 7.5% at the initial AEP. This article also allows you to-increase design flexibility by introducing more parameters into each leaf function.

关 键 词：CoBOLDT 叶片元件动量 叶片根部弯矩 年能量生产量 叶片优化 参数化 叶片弦 叶片扭曲 

分 类 号：TM129[电气工程—电工理论与新技术]