TY - GEN
T1 - Wake-Effect Minimising Optimal Control of Wind Farms, with Load Reduction
AU - Borchersen, Anders Bech
AU - Larsen, Jesper Abildgaard
AU - Sivabalan, Senthuran
AU - Kongensbjerg Laursen, Thomas
PY - 2014
Y1 - 2014
N2 - A power generating wind turbine causes a speed reduction and an added turbulence to the wind. Wind turbines in wind farms are often caught in these wakes and are found to have a higher structural load than non affected wind turbines. This article investigates the possibility of designing a control strategy which optimizes the power production, while minimizing the effect of the wakes in the wind farm. A generic wind farm model which is able to calculate the wind turbines influence on each other is developed. Models for the reduction in wind speed as well as turbulence in the wake effects are developed in order to simulate the wake effects. The models are of low complexity, making the wind farm model suitable for control purposes. A model predictive wind farm controller (MPC) is developed and compared to a classical wind farm controller. The MPC is developed, with the ability to minimize the wake effects in the farm, while maintaining optimal power output. A feature which enables the MPC to spare certain turbines, while maintaining the power output is also implemented. The MPC controller is able to minimize the wake effect in the wind farm, when the power demand is not using the full potential of the wind farm.
AB - A power generating wind turbine causes a speed reduction and an added turbulence to the wind. Wind turbines in wind farms are often caught in these wakes and are found to have a higher structural load than non affected wind turbines. This article investigates the possibility of designing a control strategy which optimizes the power production, while minimizing the effect of the wakes in the wind farm. A generic wind farm model which is able to calculate the wind turbines influence on each other is developed. Models for the reduction in wind speed as well as turbulence in the wake effects are developed in order to simulate the wake effects. The models are of low complexity, making the wind farm model suitable for control purposes. A model predictive wind farm controller (MPC) is developed and compared to a classical wind farm controller. The MPC is developed, with the ability to minimize the wake effects in the farm, while maintaining optimal power output. A feature which enables the MPC to spare certain turbines, while maintaining the power output is also implemented. The MPC controller is able to minimize the wake effect in the wind farm, when the power demand is not using the full potential of the wind farm.
U2 - 10.3182/20140824-6-ZA-1003.01460
DO - 10.3182/20140824-6-ZA-1003.01460
M3 - Article in proceeding
T3 - I F A C Workshop Series
SP - 6770
EP - 6775
BT - Proceedings of the 19th IFAC World Congress, 2014
PB - IFAC Publisher
T2 - 19th World Congress of the International Federation of Automatic Control, IFAC 2014
Y2 - 24 August 2014 through 29 August 2014
ER -