Abstract
power loss and 80% increased fatigue loads in wind farms. The aim of this work is to outline a
methodological framework of an optimal wind farm controller, which provides improved solutions to
critical areas of optimal wind farm control research. The basis of this framework is a review of
optimal wind farm control methodologies, which is presented first. It is observed that there is, at
present, mainly a need for more advanced wind farm operation models. Thereafter the framework of
a multi-objective optimal wind farm controller is outlined with the following key characteristics.
Available control objectives are (i) to maximize the total wind farm power output or (ii) to follow a
specified power reference for the wind farm’s total power output while reducing the fatigue loads of
the wind turbines in the wind farm. The controller design provides improved solutions for the
modelling of wind farm aerodynamics and turbine operation, that is the PossPOW algorithm and a
HAWC2-based turbine model, respectively. Moreover, all components of the framework are
designed as to enable the applicability of the controller to real wind farms
| Original language | English |
|---|---|
| Title of host publication | Proceedings of Wind Europe Summit 2016 |
| Number of pages | 10 |
| Publication date | 2016 |
| Publication status | Published - 2016 |
| Event | Wind Europe Summit 2016 - Congress Center Hamburg, Hamburg, Germany Duration: 26 Sep 2016 → 29 Sep 2016 https://windeurope.org/summit2016/conference/ |
Conference
| Conference | Wind Europe Summit 2016 |
|---|---|
| Location | Congress Center Hamburg |
| Country | Germany |
| City | Hamburg |
| Period | 26/09/2016 → 29/09/2016 |
| Internet address |
Keywords
- Optimal wind farm control
- Review
- Power maximisation
- Fatigue reduction
- Operation modelling
Cite this
}
Framework of Multi-objective Wind Farm Controller Applicable to Real Wind Farms. / Kazda, Jonas; Gögmen, Tuhfe; Giebel, Gregor; Courtney, Michael; Cutululis, Nicolaos Antonio.
Proceedings of Wind Europe Summit 2016. 2016.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
TY - GEN
T1 - Framework of Multi-objective Wind Farm Controller Applicable to Real Wind Farms
AU - Kazda, Jonas
AU - Gögmen, Tuhfe
AU - Giebel, Gregor
AU - Courtney, Michael
AU - Cutululis, Nicolaos Antonio
PY - 2016
Y1 - 2016
N2 - Optimal wind farm control can mitigate adverse wake effects that can potentially cause up to 40%power loss and 80% increased fatigue loads in wind farms. The aim of this work is to outline amethodological framework of an optimal wind farm controller, which provides improved solutions tocritical areas of optimal wind farm control research. The basis of this framework is a review ofoptimal wind farm control methodologies, which is presented first. It is observed that there is, atpresent, mainly a need for more advanced wind farm operation models. Thereafter the framework ofa multi-objective optimal wind farm controller is outlined with the following key characteristics.Available control objectives are (i) to maximize the total wind farm power output or (ii) to follow aspecified power reference for the wind farm’s total power output while reducing the fatigue loads ofthe wind turbines in the wind farm. The controller design provides improved solutions for themodelling of wind farm aerodynamics and turbine operation, that is the PossPOW algorithm and aHAWC2-based turbine model, respectively. Moreover, all components of the framework aredesigned as to enable the applicability of the controller to real wind farms
AB - Optimal wind farm control can mitigate adverse wake effects that can potentially cause up to 40%power loss and 80% increased fatigue loads in wind farms. The aim of this work is to outline amethodological framework of an optimal wind farm controller, which provides improved solutions tocritical areas of optimal wind farm control research. The basis of this framework is a review ofoptimal wind farm control methodologies, which is presented first. It is observed that there is, atpresent, mainly a need for more advanced wind farm operation models. Thereafter the framework ofa multi-objective optimal wind farm controller is outlined with the following key characteristics.Available control objectives are (i) to maximize the total wind farm power output or (ii) to follow aspecified power reference for the wind farm’s total power output while reducing the fatigue loads ofthe wind turbines in the wind farm. The controller design provides improved solutions for themodelling of wind farm aerodynamics and turbine operation, that is the PossPOW algorithm and aHAWC2-based turbine model, respectively. Moreover, all components of the framework aredesigned as to enable the applicability of the controller to real wind farms
KW - Optimal wind farm control
KW - Review
KW - Power maximisation
KW - Fatigue reduction
KW - Operation modelling
M3 - Article in proceedings
BT - Proceedings of Wind Europe Summit 2016
ER -