Synchronized optimization of wind farm start-stop and yaw control based on 3D wake model

Title

Synchronized optimization of wind farm start-stop and yaw control based on 3D wake model

 Author

Mr. Wang, Q. (TU Delft Wind Energy; Hubei University of Technology)
Xu, Tangjie (Hubei University of Technology)
von Terzi, D.A. (TU Delft Wind Energy) ORCID 0000-0001-9090-5089
Xia, Wei (Hubei University of Technology)
Wang, Zhenhai (Hubei University of Technology)
Zhang, Haoran (Hubei University of Technology)

Date

2024

 Abstract

In existing wind farms, the overall power output can be increased through yaw control. However, the cooperative control of start/stop, yaw and turbines positions is often overlooked, leading to wake superposition to downstream wind turbines and suboptimal power output. This paper proposes a synchronized optimized method that considers start/stop, yaw and turbines positions control based on a three-dimensional wake model and yaw flow superposition model. The objective function of the proposed strategy is to maximize the power output of the Chapman Ranch (CR) wind farm. Four cases are considered: start-stop, yaw control, start-stop & yaw control and start-stop & yaw & turbines positions control. The particle swarm algorithm is introduced to optimize the wind farm layout. According to the results, considering start-stop, yaw and turbines positions optimization can not only increase the annual power output of the wind farm by 8.85 %, but also avoid the colliding wake in the CR wind farm. However, the other three cases will cause colliding wake in some fields of the CR wind farm. This study provides important guidance on improving the overall power output of existing wind farms.


 Subject

3D wake model
Optimization
Start-stop
Wind farm layout
yaw control

 To reference this document use:

http://resolver.tudelft.nl/uuid:0708f9cb-8de2-43cd-af3c-38bd68ee25f5

 DOI

https://doi.org/10.1016/j.renene.2024.120044

 Embargo date

2024-08-05

 ISSN

0960-1481

 Source

Renewable Energy, 223

 Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

 Part of collection

Institutional Repository

 Document type

journal article

 Rights

© 2024 Q. Mr. Wang, Tangjie Xu, D.A. von Terzi, Wei Xia, Zhenhai Wang, Haoran Zhang
Files
file embargo until 2024-08-05