Abstract
In order to increase wind energy utilization efficiency by the optimization of the wind farm micro sitting, a method which could calculate the wind farm velocity is proposed by consideration of multi turbines wake loss and superposition. Based on the given velocity data of a wind farm, the maximal annual energy production is set as the optimal objective and the ordinates of wind turbines would be the optimal variables, micro sittings of the wind farm turbines are optimized by genetic algorithm. Layout calculation result of the optimal method is quite similar to that of other successful search method, but higher efficiency is reached, and the micro sitting layout is agreement with the regular plum-type layout. Annual energy productions are also calculated under the condition of different wind turbine number. Results show annual energy production increases with the wind turbine number increased, but the increasing trend is lower and lower. The research could provide a reference to wind farm micro-sitting.
Publisher
Trans Tech Publications, Ltd.
Reference15 articles.
1. Jeff A. 10 Steps to developing a wind farm [EB/OL]. Washington:American Wind Energy Association, 2009. http: /www. awea. org/documents/factsheets.
2. Song Haihui. Wind Power Technology and Engineering[M]. Bei Jing:China Water Power Press, 2009:169-172.
3. Wiser R, Bolinger M. Annual report on U.S. wind power installation, cost, and performance trends: 2006[R]. Berkeley, California: U.S. department of Energy, (2007).
4. Xu Guobin, Peng Xiufang, Wang Haijun. Micro-siting of Complex Terrain for Wind Power Station [J]. Water Resources and Power, 2010, 28(4):57-160 (in Chinese).
5. Grady SA, Hussaini MY, Abdullah MM. Placement of wind turbines using genetic algorithms[J]. Renewable Energy, 2005, 30(2):259–70.
Cited by
5 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献