摘要
针对现有相关矩阵法生成相关性风速的不足,文中引入风速的混合半云模型,改进风速的抽样过程。采用蒙特卡洛抽样生成具有相关性的风速样本,通过历史风速与模型结果的对比表明,所提出的改进相关矩阵法生成的风速间的相关系数与真实数据更为接近。然后,选取不同相关系数对风电场出力和并网可靠性进行分析,分析结果表明相关系数对风电场出力和可靠性有较大影响,考虑风速相关性可以得到对风电场出力和并网可靠性更加准确的分析。
Aiming at the deficiency of correlation-based wind speed generated by the existing correlation matrix method,a mixed half-cloud model of wind speed is introduced in this paper to improve the sampling process of wind speed.The Monte Carlo sampling is used to generate correlation-based wind speed samples.Comparison between historical wind speed and model results shows that the correlation coefficient between the wind speeds generated by the proposed improved correlation matrix method is more similar to the real data.Then,different correlation coefficients are selected to analyze the wind farm output and grid connection reliability,the results show that the correlation coefficient has great impact on the wind farm output and reliability.By considering the correlation of wind speed,the more accurate analysis on wind farm output and connection reliability can be obtained.
作者
蒋海峰
张曼
JIANG Haifeng;ZHANG Man(School of Automation,Nanjing University of Science and Technology,Nanjing 210094,China)
出处
《电力系统自动化》
EI
CSCD
北大核心
2020年第22期127-133,共7页
Automation of Electric Power Systems
关键词
相关性风速
相关矩阵法
混合半云模型
风电场并网
可靠性
correlation-based wind speed
correlation matrix method
mixed half-cloud model
grid connection of wind farm
reliability
