Abstract
This paper proposes an adjoint-based model predictive control for optimal energy extraction of wind farms. It employs the axial induction factor of wind turbines to influence their aerodynamic interactions through the wake. The performance index is defined here as the total power production of the wind farm over a finite prediction horizon. A medium-fidelity wind farm model is utilized to predict the inflow propagation in advance. The adjoint method is employed to solve the formulated optimization problem in a cost effective way and the first part of the optimal solution is implemented over the control horizon. This procedure is repeated at the next controller sample time providing the feedback into the optimization. The effectiveness and some key features of the proposed approach are studied for a two turbine test case through simulations.
| Original language | English |
|---|---|
| Title of host publication | Journal of Physics - Conference Series |
| Subtitle of host publication | The Science of Making Torque from Wind |
| Publisher | IOP Publishing |
| Number of pages | 11 |
| Volume | 753 |
| Edition | D. Control and supporting technologies |
| DOIs | |
| Publication status | Published - 2016 |
| Event | TORQUE 2016: 6th International Conference "The Science of Making Torque from Wind" - Technische Universität München (TUM), Campus Garching, Munich, Germany Duration: 5 Oct 2016 → 7 Oct 2016 https://www.events.tum.de/?sub=29 |
Publication series
| Name | Journal of Physics - Conference Series |
|---|---|
| Publisher | IOP Publishing |
| Volume | 753 |
| ISSN (Print) | 1742-6588 |
| ISSN (Electronic) | 1742-6596 |
Conference
| Conference | TORQUE 2016: 6th International Conference "The Science of Making Torque from Wind" |
|---|---|
| Country/Territory | Germany |
| City | Munich |
| Period | 5/10/16 → 7/10/16 |
| Internet address |