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Research on wind power prediction considering the correlation of regional multiple wind farms

机译:考虑区域多个风电场相关性的风电预测研究

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As the large-scale wind power is connected to the grid, challenges are brought to the security and stability operation of the power system, and therefore it is significant to predict power of regional multiple wind farms. In addition, there are different degrees of correlation among regional multiple wind farms because of their geographic proximity. In this paper, according to a large number of wind speed and active power data in Jiangsu wind farms, wind power prediction of regional multiple wind farms is proposed with considering the correlation of the wind farms. First, power prediction of a single wind farm can be obtained respectively. Then, the correlation model of regional multiple wind farms based on M-copula function is created, and on which basis, the active power prediction curve of multiple wind farms in a region can be acquired. Experimental results show that: the correlation between wind farms has a great influence on wind power prediction.
机译:随着大型风电并网,给电力系统的安全性和稳定性带来了挑战,因此预测区域性多个风电场的发电量具有重要意义。此外,区域性多个风电场之间的地理位置相近,因此存在不同程度的相关性。本文根据江苏省风电场的大量风速和有功功率数据,结合风电场的相关性,提出了区域多个风电场的风电功率预测方法。首先,可以分别获得单个风电场的功率预测。然后,建立了基于M-copula函数的区域性多个风电场相关模型,并以此为基础,获取了区域内多个风电场的有功功率预测曲线。实验结果表明:风电场之间的相关性对风电功率的预测有很大的影响。

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