Wan Jie, Yao Kun, Ren Guorui, Han Ke, Wang Qi, Yu Jilai
Laboratory for Space Environment and Physical Sciences, Harbin Institute of Technology, Harbin 150001, China.
School of Electrical Engineering &Automation, Harbin Institute of Technology, Harbin 150001, China.
Comput Intell Neurosci. 2022 Mar 31;2022:5722770. doi: 10.1155/2022/5722770. eCollection 2022.
Atmospheric turbulence is an intrinsic factor that causes uncertainty of wind speed and its power generation by wind turbine. The research of atmospheric turbulence characteristics of wind farms can be used to reduce this uncertainty. In this paper, enough measurement data getting from actual wind farms is used for information processing to quantitatively analyze the daily variation of wind speed and its power output characteristics. Furthermore, the concept of spatiotemporal diurnal modulation characteristics of atmospheric turbulence is proposed with a global scope, which is an intrinsic property of wind. Besides the daily variation characteristics, the average hourly wind speed has a short-term modulation effect on its turbulence and provides a modulation characteristic on wind speed uncertainty. Moreover, the long-term modulation process is affected by seasonal and regional factors, indicating that it has spatiotemporal characteristics. This atmospheric turbulence characteristic has similar effects on characteristic description parameters. However, the characteristics description parameters of wind speed and wind power variation fail to reflect such intrinsic characteristics that are not affected by the spatiotemporal diurnal modulation characteristics of atmospheric turbulence. This indicates that they do not have diurnal characteristics. Finally, a time-varying model combined with the spatiotemporal diurnal modulation characteristics of wind speed and its power generation is discussed by applying on the evaluation of frequency control in power systems. It is shown that the results obtained by measured data processing could improve the power generation quality of large-scale wind power effectively.
大气湍流是导致风速及其风力发电机组发电不确定性的一个内在因素。对风电场大气湍流特性的研究可用于降低这种不确定性。本文利用从实际风电场获取的足够测量数据进行信息处理，以定量分析风速的日变化及其功率输出特性。此外，在全球范围内提出了大气湍流时空日调制特性的概念，这是风的一种固有属性。除了日变化特性外，平均小时风速对其湍流有短期调制作用，并对风速不确定性提供一种调制特性。而且，长期调制过程受季节和区域因素影响，表明其具有时空特性。这种大气湍流特性对特征描述参数有类似影响。然而，风速和风电变化的特征描述参数未能反映不受大气湍流时空日调制特性影响的这种内在特性。这表明它们不具有日变化特性。最后，通过应用于电力系统频率控制评估，讨论了结合风速及其发电时空日调制特性的时变模型。结果表明，实测数据处理得到的结果能有效提高大规模风电的发电质量。
