中国电机工程学报Issue(31)：58-64,7.
复杂地形风电场微观选址优化
Optimization of Wind Farm Layout in Complex Terrain
摘要
Abstract
Microscopic site selection for wind farms in complex terrain is a technological difficulty in the development of onshore wind farms. This paper presented a method for optimizing wind farm layout in complex terrain. This method employed Lissaman and Jensen wake models, took wind velocity distribution law and wake loss between different turbines into consideration and calculated the sheltering area effect of wake loss from upstream wind turbines on downstream wind turbines. Wind direction was divided into sixteen sections, and the wind speed was processed by the Weibull distribution. To calculate the output of each section, we used the wind speed distribution and its probability density as well as the wake loss between wind turbines for every section. The objective function is maximization of the whole wind farm's power output and the free variables are the wind turbines’ coordinates which are subject to boundary conditions and minimum distance conditions. The improved genetic algorithm (GA) for real number coding was used to search the optimal result. Then the optimized result was compared to the result from the experienced layout method. Results show the advantages of the present method, and the limitations of the experienced method.关键词
风电场微观选址优化/复杂地形/尾流模型/概率密度/遗传算法Key words
wind farm layout optimization/complex terrain/wake model/probability density/genetic algorithm分类
信息技术与安全科学引用本文复制引用
许昌,杨建川,李辰奇,SHEN Wenzhong,丁根宏,郑源,刘德有..复杂地形风电场微观选址优化[J].中国电机工程学报,2013,(31):58-64,7.基金项目
教育部留学回国人员科研启动基金(2012-940)；国家重点基础研究发展计划项目(973计划)(2010CB227102)；中央高校基本科研业务费项目(2009B19414)。The Project Sponsored by the Scientific Research Foundation for the Returned Overseas Chinese Scholars From State Education Ministry (2012-940) （2012-940）
The National Basic Research Program of China (973 Program)(2010CB227102) （973 Program）
The Fundamental Research Funds for the Central Universities (2009B19414) （2009B19414）
