Research on early warning method of wind turbine main bearing temperature based on Bi-RNN
[1]Yin Shi,Hou Guolian,Yu Xiaodong,et al.Research on early warning method of wind turbine main bearing temperature based on Bi-RNN[J].Journal of Zhengzhou University (Engineering Science),2019,40(05):44-50.[doi:10.13705/j.issn.1671-6833.2019.05.008]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
40卷
Number of periods:
2019 05
Page number:
44-50
Column:
Public date:
2019-10-23
- Title:
- Research on early warning method of wind turbine main bearing temperature based on Bi-RNN
- Keywords:
- battery energy storage station ; interval control correlation ; probabilistic load flow point estimation method
- CLC:
- -
- DOI:
- 10.13705/j.issn.1671-6833.2019.05.008
- Abstract:
- With the massive integration of distributed generation and electric vehicles, the problems of power and voltage quality in active distribution network were increasingly shown. Aiming at this issue, the factors af�1Ffecting the interval control were analyzed in terms of energy storage capacity and power, daily load curve char�1Facteristics and unit time firstly. An improved interval control method for energy storage output model was then proposed to solve the problem of multiple charging/discharging operation in one cycle. Considering the correla�1Ftion of random variables, probabilistic load flow using point estimate method was analyzed to state the influence of distributed generation, electric vehicles and energy storage station on voltage level. Finally, simulation anal�1Fysis was operated on the improved IEEE-33 node active distribution network system with battery energy storage station. The results showed that the integration of energy storage station could effectively reduce the fluctuation of system power and voltage.
- References:
- -
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Last Update:
2019-10-26