LAPSE:2018.1122
Published Article
LAPSE:2018.1122
A Multi-Point Method Considering the Maximum Power Point Tracking Dynamic Process for Aerodynamic Optimization of Variable-Speed Wind Turbine Blades
Zhiqiang Yang, Minghui Yin, Yan Xu, Zhengyang Zhang, Yun Zou, Zhao Yang Dong
November 28, 2018
Due to the dynamic process of maximum power point tracking (MPPT) caused by turbulence and large rotor inertia, variable-speed wind turbines (VSWTs) cannot maintain the optimal tip speed ratio (TSR) from cut-in wind speed up to the rated speed. Therefore, in order to increase the total captured wind energy, the existing aerodynamic design for VSWT blades, which only focuses on performance improvement at a single TSR, needs to be improved to a multi-point design. In this paper, based on a closed-loop system of VSWTs, including turbulent wind, rotor, drive train and MPPT controller, the distribution of operational TSR and its description based on inflow wind energy are investigated. Moreover, a multi-point method considering the MPPT dynamic process for the aerodynamic optimization of VSWT blades is proposed. In the proposed method, the distribution of operational TSR is obtained through a dynamic simulation of the closed-loop system under a specific turbulent wind, and accordingly the multiple design TSRs and the corresponding weighting coefficients in the objective function are determined. Finally, using the blade of a National Renewable Energy Laboratory (NREL) 1.5 MW wind turbine as the baseline, the proposed method is compared with the conventional single-point optimization method using the commercial software Bladed. Simulation results verify the effectiveness of the proposed method.
Keywords
aerodynamic optimization, closed-loop system, maximum power point tracking (MPPT) control, multi-point method, variable-speed wind turbine (VSWT)
Suggested Citation
Yang Z, Yin M, Xu Y, Zhang Z, Zou Y, Dong ZY. A Multi-Point Method Considering the Maximum Power Point Tracking Dynamic Process for Aerodynamic Optimization of Variable-Speed Wind Turbine Blades. (2018). LAPSE:2018.1122
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 Information Engineering, University of Sydney, Sydney, NSW 2006, Australia
Zhang Z: School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China
Zou Y: School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China
Dong ZY: School of Electrical and Information Engineering, University of Sydney, Sydney, NSW 2006, Australia
[Login] to see author email addresses.
Journal Name
Energies
Volume
9
Issue
6
Article Number
E425
Year
2016
Publication Date
2016-05-31
Published Version
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en9060425, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2018.1122
This Record
External Link

doi:10.3390/en9060425
Publisher Version
Download
Files
[Download 1v1.pdf] (3.7 MB)
Nov 28, 2018
Main Article
License
CC BY 4.0
Meta
Record Statistics
Record Views
658
Version History
[v1] (Original Submission)
Nov 28, 2018
 
Verified by curator on
Nov 28, 2018
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2018.1122
 
Original Submitter
Calvin Tsay
Links to Related Works
Directly Related to This Work
Publisher Version