摘要
提出基于广义S变换(GST)的多变量非平稳风速高精度模拟方法。为获得更清晰的时频分辨率,首先进行了窗函数参数研究。随后,使用粒子群优化(PSO)方法对GST窗函数参数进行寻优。使用优化的GST时频谱进行模拟,获得高精度多变量非平稳风速模拟样本。最后,通过数值试验验证该方法的有效性和优越性。
In this respect,a high precision simulation method based generalized S-transform(GST)is proposed in this paper for multivariate non-stationary winds.Firstly,the window function parameters are investigated to obtain a clearer time-frequency resolution.Further,the particle swarm optimization(PSO)method is used to optimize the parameters of GST window function.The optimized GST time-frequency spectrum is used for simulation,the high precision multivariate non-stationary wind speed samples are then generated.Finally,the effectiveness and superiority of the proposed method are verified by numerical experiments.
作者
陆炳文
罗锞兴
曹黎媛
李春祥
Lu Bingwen;Luo Kexing;Cao Liyuan;Li Chunxiang(Department of Civil Engineering,School of Mechanics and Engineering Science,Shanghai University,Shanghai 200444,China)
出处
《太阳能学报》
北大核心
2025年第2期548-555,共8页
Acta Energiae Solaris Sinica
基金
国家自然科学基金(52108460)。
关键词
风力发电
非平稳风速
广义S变换
数值模拟
粒子群优化
高精度
wind power
non-stationary wind speed
generalized S transform
numerical simulation
particle swarm optimization
high precision
