摘要
采用遗传算法,结合MATLAB仿真软件,从而达到单风速单风向、平坦地形下不规则风电场的微观优化选址的目的,其方法是利用MATLAB仿真软件将不规则风电场边界提取到正方形中,通过不同网格化方向角下的正方形网格化方法对其网格化,从而利用遗传算法确定待安置风机的位置,最终实现风力发电成本的降低,产能的提高。
Through genetic algorithm combined with MATLAB simulation software, this paper achieves the aim of optimized micro-sitting selection of irregular wind farms with single wind speed and direction and flat terrain by using MATLAB simulation software to extract irregular wind farm boundaries into a square and gridding it in the square gridding method under different gridding direction angles, so as to use the genetic algorithm to determine the location of wind turbines to be placed. Finally, the cost of wind power generation is reduced and productivity is raised.
出处
《电气自动化》
2016年第1期34-36,47,共4页
Electrical Automation
关键词
遗传算法
不规则
风电场
微观
选址
genetic algorithm
irregular
wind farm
microcosmic
sitting
