摘要
为提高风电场模型的精度,文章提出建立一种考虑到集电网络影响的模型方法,该模型采用猴群算法计算等值参数。在此模型的基础上对风电场进一步化简,采用基于扩散距离的谱聚类算法对风电机组进行动态分群,得到两机表征的风电场模型,并进行仿真建模过程。通过对一个12 MW的详细风电场模型的仿真分析,将几种模型分别进行了对比,实验结果表明,文章提出的方法是准确有效的,所得到的两机表征模型能很好的反映出风电场并网的动态特性。
For improving the accuracy of wind farm models, a model considering the collection of the influence of the electric network is proposed, it use monkey algorithm to calculate equivalent parameters. Based this model, further reduction on wind farm has been done. Wind turbines are clustered dynamic and a two-machine representation model is obtained by using the spectral clustering algorithm based on diffusion distance. Comparing the several kinds of models by simulating and analyzing a model of 12 MW wind farm, the results show that the methods are accurate and effective, and the two-machine representation model can reflect the dynamic characteristics of wind farm at the interconnection.
出处
《可再生能源》
CAS
北大核心
2015年第5期678-683,共6页
Renewable Energy Resources
关键词
等值模型
集电网络
猴群算法
两机表征
equivalent model
electric network
monkey algorithm
two-machine representation
