可再生能源2011，Vol.29Issue(6)：24-28,5.
测风数据的时间间隔对风速概率分布参数计算的影响
Study on probabilistic distribution parameters of wind speed influenced by different anemometer time intervals
严彦 1许昌 1刘德有 1郑源1
作者信息
- 1. 河海大学能源与电气工程学院,江苏南京210096
- 折叠
摘要
Abstract
Probabilistic distribution parameters of wind speed in wind farms are quite important to the wind energy statistical characteristics. Based on wind speed obeys the dual parameter Weibull distribution, three different methods including least-square method, average wind speed and standard deviation estimation, and average wind speed and maximum wind speed estimation are employed to estimate the parameters of wind speed probabilistic distribution via the various anemometer time intervals, thereout, wind energy characteristic indices could be obtained. The result shows the method of average wind speed and standard deviation is the best if the time interval is short enough, but the least-square method is better when the time interval gets longer via the comparison between the wind energy characteristic indices calculated by the probabilistic distribution of wind speed and the indices obtained from the historical wind speed time series. In addition, the average wind speed and maximum wind speed estimation has a large randomness, so it should be used with extreme caution.关键词
风电场数据/威布尔分布/参数估算/风能特征指标Key words
wind data/weibull distribution/parameter estimation/wind energy characteristic indices分类
能源科技引用本文复制引用
严彦,许昌,刘德有,郑源..测风数据的时间间隔对风速概率分布参数计算的影响[J].可再生能源,2011,29(6):24-28,5.
