摘要
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。
Wind power generator sets are much different from traditional ones, such as gas turbine-generator sets, for power of the wind turbines cannot be controlled substantially, due to variability and uncontrollable of the wind. As the wind conditions impact largely on performance of the wind power generation systems, wind speed model is important in simulation of the systems. This paper deals with stochastic characteristic of the wind speed, and gives an auto-regressive moving-average （ARMA） model for wind speed subjected to particular power spectral density. Simulation result is given for analysis and validity, and is compared with that of other model. It is concluded that the proposed ARMA model is effective in wind speed simulation.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2005年第21期41-44,共4页
Proceedings of the CSEE
基金
全球可持续发展联合会资助项目(2002.2126)。~~
关键词
风力发电
风速模型
功率谱密度
自回归滑动平均
Wind power generation
Wind speed model
Power spectral density
Auto-regressive moving-average
