Study on Computational Grids in Placement of Wind Turbines Using Genetic Algorithm

被引：0
|
作者：
Wang, Feng [1 ]
Liu, Deyou [1 ]
Zeng, Lihua [1 ]
机构：
[1] Hohai Univ, Coll Water Conservancy & Hydropower Engn, Nanjing, Jiangsu, Peoples R China
来源：
2009 WORLD NON-GRID-CONNECTED WIND POWER AND ENERGY CONFERENCE | 2009年
关键词：
wind turbines; micro-siting; optimization; genetic algorithm; computational grids;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
To optimize the placement of wind turbines using a genetic algorithm for the fixed size of wind farm, the appropriate computational grids are the basis of the succeeding work. The optimized scheme was tightly restricted by the rationality and accuracy of computational grids. In this paper, based on the consideration of actual wind and wake characteristics of wind turbines, the (a) shape of the grids, (b) arranging the direction of the grids, and (c) the density of the grids were introduced to study the effect of computation grids on the optimization results. Furthermore, the grids' division method in the scheme's optimization of wind turbines placement under different conditions was discussed to increase the power capacity of the wind farm to obtain the maximum benefit of the investment.
引用
收藏
页码：369 / 372
页数：4
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