摘要
以各风电场历史风速概率密度函数、风速波动统计直方图与互相关系数为约束因素,提出了一种考虑多风电场统计和互相关特性的风速时间序列模拟生成方法。考虑到以月为统计单位的风速常符合多峰混合威布尔分布规律,首先将各风电场每月风速分布分解为含不同样本数的单峰威布尔分布;其次生成多个符合特定互相关系数及瑞利分布特性的时间序列,并继续转化为多个符合特定互相关系数及单峰威布尔分布特性的数据序列;拼接各风电场已生成序列并对时间顺序进行前后调整,最终得到各风电场符合多峰混合威布尔分布和波动统计特征及不同风速互相关系数的风速时间序列。算例表明,模拟生成的风速数据可较好地兼顾各风电场自身和相互之间的统计规律。
By using wind speed probability distribution,wind disturbance histogram and correlation parameter as constraints,a wind modeling 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 statistical laws.
出处
《电力系统自动化》
EI
CSCD
北大核心
2013年第6期18-23,83,共7页
Automation of Electric Power Systems
基金
国家高技术研究发展计划(863计划)资助项目(2011AA05A105)
国家自然科学基金资助项目(50877014)~~
关键词
风速
风电场
威布尔分布
相关性
随机数据生成
wind speed
wind farm
Weibull distribution
correlation
random data generation
