南京航空航天大学学报2011，Vol.43Issue(5)：650-654,5.
基于小生境遗传算法的风电场布局优化
Placement Optimization of Wind Farm Based on Niche Genetic Algorithm
摘要
Abstract
The placement of wind turbines in a wind farm is optimized based on niche genetic algorithm. Two simplified oncoming flow models of the unidirectional uniform wind and the non-uniform wind are considered with variable wind directions. In order to predict a more realistic power produced by the wind farm, the modified Jensen wake model is employed to investigate the behavior of wake interactions among the wind turbines. The niche genetic algorithm is used in optimization to minimize the cost of en-ergy (COE). In addition to optimal configurations, the results include number of turbines, total power output, objective functions and efficiency of output power for each configuration. Compared with earlier studies, the present work provides more improved results, and it is suitable for the optimization of the wind turbine placement in wind farms.关键词
小生境遗传算法/风电场/尾流模型/风力机机组布局优化Key words
niche genetic algorithm/ wind farm/ wake model/ layout optimization of wind turbines分类
数理科学引用本文复制引用
田琳琳,赵宁,钟伟,胡偶..基于小生境遗传算法的风电场布局优化[J].南京航空航天大学学报,2011,43(5):650-654,5.基金项目
国家重点基础研究发展计划(“九七三”计划)(2007CB714600)资助项目 （“九七三”计划）
江苏省创新学者攀登(BK2008044)资助项目 （BK2008044）
江苏高校优势学科建设工程资助项目. （）
