LAPSE:2019.0332
Published Article
LAPSE:2019.0332
Inverse Aerodynamic Optimization Considering Impacts of Design Tip Speed Ratio for Variable-Speed Wind Turbines
Zhiqiang Yang, Minghui Yin, Yan Xu, Yun Zou, Zhao Yang Dong, Qian Zhou
February 27, 2019
Because of the slow dynamic behavior of the large-inertia wind turbine rotor, variable-speed wind turbines (VSWTs) are actually unable to keep operating at the design tip speed ratio (TSR) during the maximum power point tracking (MPPT) process. Moreover, it has been pointed out that although a larger design TSR can increase the maximum power coefficient, it also greatly prolongs the MPPT process of VSWTs. Consequently, turbines spend more time operating at the off-design TSRs and the wind energy capture efficiency is decreased. Therefore, in the inverse aerodynamic design of VSWTs, the static aerodynamic performance (i.e., the maximum power coefficient) and the dynamic process of MPPT should be comprehensively modeled for determining an appropriate design TSR. In this paper, based on the inverse design method, an aerodynamic optimization method for VSWTs, fully considering the impacts of the design TSR on the static and dynamic behavior of wind turbines is proposed. In this method, to achieve higher wind energy production, the design TSR, chord length and twist angle are jointly optimized, which is structurally different from the conventional separated design procedure. Finally, the effectiveness of the proposed method is validated by simulation results based on the Bladed software.
Keywords
aerodynamic optimization, design tip speed ratio (TSR), inverse design, maximum power point tracking (MPPT), variable-speed wind turbine (VSWT)
Suggested Citation
Yang Z, Yin M, Xu Y, Zou Y, Dong ZY, Zhou Q. Inverse Aerodynamic Optimization Considering Impacts of Design Tip Speed Ratio for Variable-Speed Wind Turbines. (2019). LAPSE:2019.0332
Author Affiliations
Yang Z: School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China
Yin M: School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China
Xu Y: School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore
Zou Y: School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China
Dong ZY: China Southern Power Grid Electric Power Research Institute, Guangzhou 510000, China; School of Electrical and Information Engineering, University of Sydney, Sydney, NSW 2006, Australia
Zhou Q: Jiangsu Electric Power Company Research Institute, Nanjing 211103, China
[Login] to see author email addresses.
Journal Name
Energies
Volume
9
Issue
12
Article Number
E1023
Year
2016
Publication Date
2016-12-03
Published Version
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en9121023, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2019.0332
This Record
External Link

doi:10.3390/en9121023
Publisher Version
Download
Files
[Download 1v1.pdf] (3.6 MB)
Feb 27, 2019
Main Article
License
CC BY 4.0
Meta
Record Statistics
Record Views
468
Version History
[v1] (Original Submission)
Feb 27, 2019
 
Verified by curator on
Feb 27, 2019
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2019.0332
 
Original Submitter
Calvin Tsay
Links to Related Works
Directly Related to This Work
Publisher Version