以随时间变化的自然风为研究对象,考虑风向扇区划分的方法,计算指定时间段内的风向时间维变差,基于统计学方法马尔科夫链模型理论与实验基地实测自然风数据,构建呼和浩特郊区典型风况下自然风风向变化的转移概率矩阵模型,并根据模型生成随机时间序列进行反向验证,意在建立更完整的风模型。
Abstract
In this paper, the method of wind direction sector division is considered, by calculating the time dimension variation of wind direction in a specified period of time, the transfer probability matrix model of natural wind direction change under typical wind conditions in Hohhot suburb is constructed by using the theory of statistical method, Markov chain model and the measured natural wind data of the experimental base, based on this model, a random time series is generated to verify it in reverse, the purpose is to establish a more complete wind modeling.
关键词
风力机 /
自然风 /
风向模型 /
马尔可夫链 /
扇区划分 /
风向变化
Key words
wind turbines /
natural wind /
wind direction modeling /
Markov chain /
sector partition /
wind direction change
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基金
国家自然科学基金（51766014）; 2017内蒙古自治区重大基础研究开放课题
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