文章基本信息

标题：Continuous Optimization and Economic Evaluation of Wind Farm Layout Based on Genetic Algorithm with Elitist Strategy
本地全文：下载
作者：Yuhong Sun ; Yuhong Sun ; Zhiteng Gao 等
期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2019
卷号：237
期号：6
页码：062018
DOI：10.1088/1755-1315/237/6/062018
出版社：IOP Publishing
摘要：To improve the overall output power and efficiency of the wind farm, considering the cost model of a wind turbine and the multi-turbine wake interference model, using genetic algorithm with elitist strategy, the real-coded method is used to optimize the wind farm layout. The optimal calculation results of three typical flow conditions show that: Compared with the results of the discrete optimization method, the continuous optimization can increase the output power and efficiency of a wind farm by about 1.05% ~ 4.27% in the same amount of wind turbines, increase the economy of a wind farm by about 1.04% ~ 4.10%, and avoid the influence of grid step size on the optimization results, so that it is possible to perform a finer micro-siting.