A wind speed modelling method for multiple wind farms considering correlation and statistical characteristics

被引：0
|
作者：
Wang, Songyan [1 ]
Yu, Jilai [1 ]
Li, Haifeng [2 ]
Luo, Jianyu [2 ]
机构：
[1] School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
[2] Jiangsu Electric Power Company, Nanjing 210024, China
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2013年 / 37卷 / 06期
关键词：
Correlation parameters - Distribution characteristics - Mixed Weibull distribution - Number of samples - Random data generations - Statistical characteristics - Wind farm - Wind speed;
D O I：
10.7500/AEPS201205251
中图分类号：
学科分类号：
摘要：
By using wind speed probability distribution, wind disturbance histogram and correlation parameter as constraints, a wind modelling method considering correlation and statistical characteristics is proposed. Considering monthly 10-min averaged wind speeds usually follow a mixed Weibull distribution, the single month wind speed probability distribution is firstly divided into several single Weibull distribution with different number of samples. Then, several time series with different number of samples, special correlation parameters and single Weibull distribution characteristics are generated. Final time series can be obtained by combining generated time-series and adjusting the orders of samples. Simulation results show that the simulated wind speeds can both reflect its own and nearby wind farms statictical laws. © 2013 State Grid Electric Power Research Institute Press.
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页码：18 / 23
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