基于遗传算法的二自由度波浪能装置阵列优化  

OPTIMIZATION OF 2-DOF WAVE ENERGY CONVERTERS ARRAY BASED ON GENETIC ALGORITHM

作　　者：马宏达 邓义斌[1,2] 郭强波 Ma Hongda;Deng Yibin;Guo Qiangbo(College of Energy and Powering of Engineering,Wuhan University of Technology,Wuhan 430063,China;Key Laboratory of Marine Power Engineering&Technology under Minister of Communication P.R.China,Wuhan University of Technology,Wuhan 430063,China;Wuhan Bureau of Register Shipping and Administration,Wuhan 430030,China)

机构地区：[1]武汉理工大学能源与动力工程学院,武汉430063 [2]武汉理工大学船舶动力工程技术交通行业重点实验室,武汉430063 [3]武汉市船舶检验所,武汉430030

出　　处：《太阳能学报》2022年第6期264-269,共6页Acta Energiae Solaris Sinica

基　　金：国家自然科学基金(51579197)。

摘　　要：针对浮子式波浪能装置阵列发电效率提升问题,采用遗传算法对一种二自由度浮子式波浪能发电装置阵列进行优化排布。首先介绍二自由度波浪能发电装置及其阵列数学模型;然后开展二自由度装置阵列优化模型的构建及其遗传算法求解研究;接着对100 m×100 m海域范围内分别开展2、3、5个装置阵列的排布优化计算,并对2个装置阵列的优化结果进行验证,分析波浪能装置阵列影响因子q增大的机理;计算结果表明遗传算法能有效优化二自由度装置阵列排布,增强阵列中各装置之间的相互作用,提升波浪能装置阵列发电效率。To improve the efficiency of the floating wave energy converters arrays,the genetic algorithm is used to optimize the 2-DOF floating wave energy converters arrays.In this paper,the 2-DOF wave energy converter and its array mathematical model are first introduced,and then the study on the construction of 2-DOF device array optimization model and its genetic algorithm solution is conducted.On this basis,the arrangement optimization calculation of 2,3 and 5 device arrays with the area of 100 m×100 m sea area is carried out respectively.Furthermore,the optimization results of two device arrays are verified,and the mechanism for the increase of the interaction factor q of wave energy converters arrays is analyzed.The results show that the genetic algorithm can effectively optimize the array arrangement of 2-DOF devices,enhance the interaction between the devices in the array,and improve the power generation efficiency of wave energy converters arrays.

关 键 词：波浪能 遗传算法 优化方法 阵列布置 二自由度 

分 类 号：P743.2[天文地球—海洋科学]