风电场的多学科优化设计方法

MULTIDISCIPLINARY OPTIMIZATION DESIGN METHOD FOR WIND FARM

风电场是极其复杂、高度耦合的庞大系统。风电场设计时需要考虑的变量、因素众多,包括风资源、选址、风电机组排布、风电机组选型,甚至还需考虑电网、场内道路等诸多因素。因此,如何保证风电场的开发可以在控制风险的同时获得良好的收益成为了风电行业一大技术难题。本文将风电场设计时涉及的学科模型链与优化算法相结合进行了多学科优化,通过直接设定风电场项目的经济性目标,将风电场总装机容量、风电机组荷载安全性作为优化时的约束条件,实现优化算法自动迭代并寻找到风电场经济性目标最优的设计,从而实现了风电场定制化设计中风电机组自动选型(包括额定功率、塔架高度、叶轮直径等)及机位点自动迭代的优化设计方法,并以某个典型项目验证了该优化设计方法的快速有效性。

Wind farms are extremely complex and highly coupled large systems.There are many variables and factors to be considered in wind farm design,including wind resources,site selection,layout arrangement of wind turbines,wind turbine selection,furthermore,involving the power grid,transpart roads and other factors.Therefore,how to ensure the development of wind farms with control the risks and get good returns has become a major technical problem of wind power industry.In this paper,the subject model chain involved in the wind farm design is combined with the optimization algorithm for multidisciplinary optimization.By directly setting the economic objectives of the wind farm project,taking the total installed capacity of the wind farm and the load safety of the wind turbine as the constraints during the optimization,the optimization algorithm is automatically iterated and the optimal design of the economic objectives of the wind farm is found,thus,the optimization design method of automatic selection of wind turbine,including rated power,tower height and impeller diameter,and automatic iteration of machine location in customized design of wind farm is realized.The optimization design method is proved to be fast and effective through typical projects.