文章基本信息

标题：Time Series Generation and Complex Correlation Assessment for Multiple Wind Farms
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作者：Shenzhi Xu ; Bo Xu
期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2019
卷号：295
期号：2
页码：1-7
DOI：10.1088/1755-1315/295/2/012068
出版社：IOP Publishing
摘要：Analysis and calculation of power system often requires a large number of medium and long-term wind power output series as data foundation. However, for most wind farms that have not been built or put into operation for a long time, the current output data is limited and it is difficult to support related research. It is necessary to use a limited amount of measured data to generate lots of wind power output time series that are similar to the actual data. Considering the concentrated development mode of wind power, this paper proposes a time series generation method for multiple wind farms based on the Markov Chain and Monte Carlo (MCMC) method and combined with high-dimensianal Markov process. The mixed Copula function fitting model is used to describe the spatial correlation of wind farms accurately. The measured wind power ouput is used to verify the results. It shows that the proposed method can simulate the output characteristics of single wind farm while maintaining the spatial correlation among different wind farms with geographical proximity.