风力发电机组不同于火电等传统发电机组的最大之处

在于其原动机功率的本质不可控，这是由风速的易变性和不

可控性造成的。风速状况对风力发电系统的性能有着重要的

影响，也使得风速模型成为风力发电系统仿真模型的重要部

分。该文针对风速随机变化的特性，在风速统计特性研究的

基础上，用自回归滑动平均(ARMA)方法建立了具有一定

功率谱密度特性的风速模型。对该模型所模拟的风速序列进

行了分析和验证，并与现有仿真程序中风速模型的结果进行

了对比，结果表明该文提出的ARMA模型能够有效地产生

动态分析和仿真所需的风速序列。

-Unlike traditional thermal power generating units in the uncontrollable nature of its prime mover power wind turbine, which is caused by the variability of the wind speed and uncontrollability. Wind speed condition has an important impact on the performance of the wind power generation system, and also makes wind model to become an important part of the wind power system simulation model. Paper, the characteristics of wind speed changes randomly, on the basis of the wind speed statistical characteristics of self-regressive moving average (ARMA) method to set up wind speed model has a certain power spectral density characteristics. Analysis and validation of the model simulated wind speed sequence, compared with the results of existing simulation program in wind speed model, results show that the proposed ARMA model can effectively generate dynamic analysis and simulation of the wind speed required sequence .