Abstract
A new control algorithm for a MW class spar-type floating offshore wind turbine has been developed to improve its performance and to reduce its mechanical load. The new blade pitch control having two PI control loops applied for different wind speed regions were designed. The bandwidth of the controller at near above-rated wind speed region was made lower to keep the vibration mode of the floating platform from being driven, and the bandwidth of the controller at far above-rated wind speed region was made higher to improve the wind turbine performance. Also, a feedback control loop using the angular acceleration information of the nacelle in the fore-aft direction was designed additionally to reduce the tower vibration. To perform modeling and simulation, a commercial multidynamics simulation program widely used for wind turbine design and certification, DNV-GL Bladed was used. The DNV-GL Bladed simulation results for the proposed new control algorithm showed that the output performance is improved and the tower load is reduced in various wind speeds above the rated wind speed.
Article PDF
Similar content being viewed by others
Avoid common mistakes on your manuscript.
Abbreviations
- Δθ Blade cmd :
-
Difference in command and measured pitch angle
- θ :
-
Pitch angle
- K P :
-
Proportional gain
- K I :
-
Integral gain
- ω(t):
-
Angular velocity of generator
- ω ref :
-
Reference angular velocity of generator
- x faft :
-
Displacement in fore-aft
- m :
-
Mass
- c :
-
Damping coefficient
- k :
-
Spring constant
- F thrust :
-
Thrust force of wind turbine
- τ :
-
Time constant
References
Hansen, M. H., Hansen, A., Larsen, T. J., Øye, S., Sørensen, P., and Fuglsang, P., “Control Design for a Pitch-Regulated, Variable Speed Wind Turbine,” http://orbit.dtu.dk/fedora/objects/orbit:88301/datastreams/file_7710881/content (Accessed 29 MAY 2015)
Larsen, T. J. and Hanson, T. D., “A Method to Avoid Negative Damped Low Frequent Tower Vibrations for a Floating, Pitch Controlled Wind Turbine,” Journal of Physics: Conference Series, Paper No. 012073, 2007.
Matsunaga, R., Tamagawa, Y., Lida, M., and Arakawa, C., “Development of Blade Pitch Control to Reduce Tower Motion of a 5MW Sapr-type Floating Offshore Wind Turbine,” WWEC, 2014.
DNV, “Bladed: Bladed Wind Turbine Simulation Tool is Key for Optimizing Your Turbine at Every Phase of Its Design,” https:// www.dnvgl.com/services/bladed-3775 (Accessed 29 MAY 2015)
Jonkman, J. M., Butterfield, S., Musial, W., and Scott, G., “Definition of a 5-MW Reference Wind Turbine for Offshore System Development,” National Renewable Energy Laboratory Golden, Technical Report NREL/TP-500-38060, 2009.
Jonkman, J. M., “Definition of the Floating System for Phase IV of OC3,” National Renewable Energy Laboratory Golden, Technical Report NREL.TP-500-47535, 2010.
International Electrotechnical Commission, “Wind Turbines-Part 1: Design Requirements,” IEC-61400-1, 2005.
International Electrotechnical Commission, “Wind Turbines–Part 3: Design Requirements for Offshore Wind Turbines,” IEC-61400-3, 2009.
Nam, Y.-S., “Wind Turbine Control,” GS InterVision, pp. 405–441, 2013.
Kim, K., Lim, C., Oh, Y.-O., Kwon, I., Yoo, N., and Paek, I., “Time-Domain Dynamic Simulation of a Wind Turbine Including Yaw Motion for Power Prediction,” Int. J. Precis. Eng. Manuf., Vol. 15, No. 10, pp. 2199–2203, 2014.
Pham, T.-K., Nam, Y., Kim, H., and Son, J., “LQR Control for a Multi-MW Wind Turbine,” World Academy of Science, Engineering and Technology, Vol. 6, No. 2, pp. 630–635, 2012.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Oh, Y., Kim, K., Kim, H. et al. Control algorithm of a floating wind turbine for reduction of tower loads and power fluctuation. Int. J. Precis. Eng. Manuf. 16, 2041–2048 (2015). https://doi.org/10.1007/s12541-015-0265-0
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12541-015-0265-0