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漂浮式海上风电场微观选址动态布局优化研究

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针对现有的海上风电场微观选址方法较少考虑漂浮式风电机组受到风浪作用移位的问题,文章提出了考虑系泊系统移位漂浮式风电场微观选址优化方法.该方法使用改进网格枚举优化算法得到漂浮式风电机组静态优化布局,在此基础上考虑系泊系统移位的影响,引入准静态系泊模型计算每台风力机的偏移量,以风电场发电量最高为优化目标,实现漂浮式风电机组的动态优化,从而最终实现快速生成满足优化目标及约束条件的漂浮式风电机组排布方案.最后以南海东部某海域的风电场进行案例分析,结果表明,相对于静态布局,各种尾流下的动态布局发电量都有不同程度的提升,可供海上漂浮式风电场微观选址布局实际工程应用.
Research on dynamic layout optimization of micro site selection for floating offshore wind farm
Given that existing micro-siting methods for offshore wind farms seldom consider the displacement of floating wind turbines due to wind and wave effects,this article proposes a micro-siting optimization method for floating wind farms that takes into account the displacement of the mooring system.This method employs an improved grid enumera-tion optimization algorithm to obtain the static optimal layout of floating wind turbines.Based on this,it considers the impact of mooring system displacement,introduces a quasi-static mooring model to calculate the displacement of each wind turbine,and aims to maximize the power generation of the wind farm as the optimization objective,achieving dy-namic optimization of floating wind turbines.Ultimately,this method facilitates the rapid generation of a floating wind turbine arrangement plan that meets optimization objectives and constraints.Finally,a case study is conducted on a wind farm in a certain sea area in the eastern South China Sea.The results show that compared to the static layout,the dynamic layout under various wake flows has varying degrees of power generation improvement,which can be applied to practical engineering for micro-siting layout of offshore floating wind farms.

floating offshore wind farmsmicro site selectiongrid enumeration methodmooring system

董芬、易丛、李元芳、李张翰熠、张宇

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中海油研究总院有限责任公司,北京 100028

河海大学 新能源学院,江苏 常州 213200

漂浮式海上风电场 微观选址 网格枚举法 系泊系统

2024

新能源科技
江苏省轻工科技情报总站 中国自行车协会助力自行车专业委员会

新能源科技

影响因子:0.022
ISSN:2096-8809
年,卷(期):2024.5(6)