风电技术监督数据的采样频率确定方法研究
Research on Method of Determining Sampling Frequency of Wind Power Technical Supervision Data
李洪海 1王尚斌 1杨子江 2李军 3高嵩3
作者信息
- 1. 山东鲁软数字科技有限公司,山东 济南 250000
- 2. 山东科技大学电气与自动化工程学院,山东 青岛 266590
- 3. 国网山东省电力公司电力科学研究院,山东 济南 250000
- 折叠
摘要
为降低网络专线的数据传输负荷,以一次调频技术监督指标为具体对象,研究了风电技术监督数据的采样频率确定方法.首先,通过一次调频数据段辨识得到风电场的一次调频过程单机等值动态模型,并估计实发功率的噪声方差.其次,以噪声方差估计值构造输出量测噪声,得到动态模型在典型输入下的输出信号.然后,以输入和输出信号在不同采样频率下的样本序列,得到一组技术监督指标估计值.最后,重复上述步骤,得到多组一次调频技术监督指标估计值,并以估计值变异系数小于给定阈值时的最小采样频率作为技术监督数据的采样频率.所提方法实现了技术监督指标估计值与数据采样频率间的关联.该研究对促进技术监督数据采集工作的发展有重要的意义.
Abstract
To reduce the data transmission load of the dedicated network line,the method of determining sampling frequency of wind power technical supervision data is studied with the primary frequency regulation technical supervision index as the specific object.Firstly,the single-machine equivalent dynamic model of the primary frequency regulation process of wind power farms is obtained through the identification of primary frequency regulation data segments,and the noise variance of the real generated power is estimated.Secondly,the output measurement noise is constructed with the estimated noise variance to obtain the output signal of the dynamic model at a typical input.Then,a set of technical supervision indicators estimates is obtained with a sequence of samples of the input and output signals at different sampling frequencies.Finally,the above steps are repeated to obtain a plurality of sets of primary frequency regulation technical supervision indicator estimates,and the minimum sampling frequency at which the coefficient of variation of the estimates is less than a given threshold is used as the sampling frequency of the technical supervision data.The proposed method realizes the correlation between the estimated values of the technical supervision indicators and the sampling frequency of the data.The research is of great significance in promoting the development of technical supervision data collection.
关键词
风电场/技术监督/采样频率/涉网性能/动态模型/变异系数Key words
Wind power farms/Technical supervision/Sampling frequency/Grid-related performance/Dynamic model/Coefficient of variation引用本文复制引用
出版年
2024
NETL
NSTL
万方数据