摘要
目前风电场弃风现象普遍,在此情况下,为了得到更加准确的风电场模型,考虑风电场因电网管理部门发出的限电指令而造成的"空转弃风"现象,将风能利用系数Cp(功率系数)作为风电机组分群聚类的依据,应用SPSS软件,通过快速聚类方法——K-均值聚类方法进行聚类。通过MATLAB/SIMULINK对DFIG型风电场进行多机等值建模。结果表明:在保证仿真精度的前提下,本文的方法大幅度缩短了仿真时间,且更加接近目前风电场的实际运行状况;仿真结果的比较分析验证了此方法的优越性。
The phenomenon of wind power curtailment in wind farm is common at present . Under such circumstances,in order to get more accurate wind farm model,utilization coefficient of wind energy (Cp or power factor) was regarded as a basis of the voting clustering method, considering that the phenomenon of idling and curtailed wind of wind power rationing due to the in-structions power management department issued. And the clustering method which was the fast clustering method-X-means clustering algorithm was used on the application of SPSS software. The equal model with multiple fans of DFIG-type wind farm was carried out by MATLAB/SIMULINK. Results showed that on the premise of simulation precision, the simulation time was greatly reduced and the result was more closed to the current actual operating condition of the wind farm. The superiority of the method was verified by the analysis of simulation results.
出处
《中国科技论文》
CAS
北大核心
2016年第23期2711-2715,共5页
China Sciencepaper
基金
内蒙古自治区高等学校科学研究项目(NJZY14165)
关键词
K-均值聚类
空转弃风
双馈发电机
风能利用系数
X-means clustering
idling and curtailed wind
doubly fed induction generator
utilization coefficient of wind energy