Topology, principle and model of wind power flow optimization control system

Author(s):  
Yanlei Zhao ◽  
Lei Zhang ◽  
Naiyong Xia ◽  
Housheng Zhang
2010 ◽  
Vol 121-122 ◽  
pp. 916-921 ◽  
Author(s):  
Yan Lei Zhao ◽  
Hai Dong Li ◽  
Hou Sheng Zhang ◽  
Xue Ting Liu

According to the operating characteristics of the wind power flow optimization and control system, an improved supercapacitor euqivalent circuit model is proposed, which characterizes termimanl behavior of the supercapacitor in the time ranges from several seonds to several minutes as well as the influence of lekage current in hours range. By the method of circuit analysis, parameter identification of the model is deduced in detail. The smilation and expriment results indicate the model and its parameter idenfication method proposed in the paper are feasible and effective.


2011 ◽  
Vol 383-390 ◽  
pp. 7232-7237 ◽  
Author(s):  
Nai Yong Xia ◽  
Yan Lei Zhao

A kind of multiple bi-directional DC/DC converter used in supercapacitor energy storage unit of the wind power flow optimization and control system is analyzed and studied. Based on DSPs, the converter uses a double closed-loop control strategy to stabilize voltage and uses a digital parallel current sharing strategy to eliminate circulation current among each converter unit. In the paper, firstly, the working principle and the working process of the multiple bi-directional converter are analyzed in detail. Then, on the basis of the small signal model, the way to voltage stabilization and current balance are presented. Finally, a low power converter prototype is designed and made to carry on the experiment. The experimental results show that the proposed control strategies are feasible and effective. So the multiple bi-directional DC/DC converter designed in the paper has comparatively high practicable value in the wind power flow optimization and control system.


2021 ◽  
Vol 1754 (1) ◽  
pp. 012026
Author(s):  
Fan Yang ◽  
Kai Chen ◽  
Shaofeng Qian ◽  
JiangYang Zhan ◽  
Rui Yu ◽  
...  

2020 ◽  
Vol 48 (12-13) ◽  
pp. 1362-1377
Author(s):  
Qais Alsafasfeh ◽  
Omar A. Saraereh ◽  
Moath Alsafasfeh ◽  
Ayman Maqableh ◽  
Imran Khan ◽  
...  

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