scholarly journals A new control strategy for smoothing of wind farm output using short-term ahead wind speed prediction and Flywheel energy storage system

Author(s):  
F. Islam ◽  
H. Hasanien ◽  
A. Al-Durra ◽  
S. M. Muyeen
2021 ◽  
Author(s):  
Junrui Wang ◽  
Jingchao Zhou ◽  
Libao Wang ◽  
Chuang Wang ◽  
Xinju Wu ◽  
...  

2020 ◽  
Vol 309 ◽  
pp. 05011
Author(s):  
Jinyong Xiang ◽  
Zhifeng Qiu ◽  
Qihan Hao ◽  
Huhui Cao

The accurate and reliable wind speed prediction can benefit the wind power forecasting and its consumption. As a continuous signal with the high autocorrelation, wind speed is closely related to the past and future moments. Therefore, to fully use the information of two direction, an auto-regression model based on the bi-directional long short term memory neural network model with wavelet decomposition (WT-bi-LSTM) is built to predict the wind speed at multi-time scales. The proposed model are validated by using the actual wind speed series from a wind farm in China. The validation results demonstrated that, compared with other four traditional models, the proposed strategy can effectively improve the accuracy of wind speed prediction.


2021 ◽  
Author(s):  
Sajad Esmaeili ◽  
Mohammad Amini ◽  
Amir Khorsandi ◽  
Seyed Hamid Fathi ◽  
Seyed Hossein Hosseinian ◽  
...  

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