白格平, 任国瑞, 苏雁飞, 牛玉广, 张耀, 邢峰. 乌兰察布地区风资源波动性及聚合特性分析[J]. 电网与清洁能源, 2022, 38(7): 81-91,106.
引用本文: 白格平, 任国瑞, 苏雁飞, 牛玉广, 张耀, 邢峰. 乌兰察布地区风资源波动性及聚合特性分析[J]. 电网与清洁能源, 2022, 38(7): 81-91,106.
BAI Geping, REN Guorui, SU Yanfei, NIU Yuguang, ZHANG Yao, XING Feng. Analysis of Characteristics of Wind Resource Fluctuation and Aggregation in Ulanqab[J]. Power system and Clean Energy, 2022, 38(7): 81-91,106.
Citation: BAI Geping, REN Guorui, SU Yanfei, NIU Yuguang, ZHANG Yao, XING Feng. Analysis of Characteristics of Wind Resource Fluctuation and Aggregation in Ulanqab[J]. Power system and Clean Energy, 2022, 38(7): 81-91,106.

乌兰察布地区风资源波动性及聚合特性分析

Analysis of Characteristics of Wind Resource Fluctuation and Aggregation in Ulanqab

  • 摘要: 为系统准确地描述乌兰察布地区风资源的波动性和聚合特性,建立了风电波动幅度及波动速率量化指标,对该区域风资源潜力及波动性进行了分析。基于威布尔分布拟合参数进一步对比分析不同风向区间风资源的波动性,相比于出现频率较低的风向扇区,出现频率较高的风向扇区对应的风速通常平均风速较大,且波动性较弱。为平抑风电波动性,基于Kendall相关系数分析了乌兰察布地区不同空间位置风功率出力的聚合特性,并定义波动强度及波动速率下降指数来定量研究相关系数与聚合效果间的对应关系。结果表明,随着相关系数的增大,波动强度及波动速率下降指数呈线性下降变化趋势;不同空间位置风电聚合后,相比风电出力的波动幅度,对波动速率的平抑效果更加显著。

     

    Abstract: To accurately and systematically characterize the fluctuation and aggregation characteristics of wind resources in Ulanqab,the indexes of fluctuation range and fluctuate rate are proposed firstly. The potential and fluctuation features in Ulanqab are analyzed based on these indexes. Secondly,the wind resource fluctuation characteristics under different wind direction sectors are comparatively analyzed according to the fitting parameters of Weibull distribution. In the wind direction occurred more frequently,the corresponding wind speed is larger and fluctuates less weakly. In order to mitigate wind power fluctuation effectively,the aggregation characteristics of wind power between different spatial sites in the region of Ulanqab are measured based on the Kendall correlation coefficient.Meanwhile, the reducing indexes of fluctuation range and fluctuation rate are defined to quantitatively analyze the relationship between the aggregation effect and the correlation coefficient. The results show that the reducing indexes linearly decrease with the increasing of the correlation coefficient. After aggregating wind power generated in different regions, the fluctuation rate is more significantly mitigated compared with the fluctuation range.

     

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