TY - JOUR
T1 - A distributed optimization framework for wind farms
AU - Soleimanzadeh, Maryam
AU - Wisniewski, Rafal
AU - Johnson, Kathryn
PY - 2013/12/1
Y1 - 2013/12/1
N2 - The wind farm has an intrinsically distributed structure, where wind turbines are counted as subsystems of the distributed system. The coupling between the subsystems is the wind flow and the power reference set-points across the turbines, which are designed to provide the total wind farm power demand. Distributed controller design commences with formulating the problem, where a structured matrix approach has been put in practice. Afterwards, an H2 control design formulation is used to find the control signal set points for the wind farm to minimize structural loads on the turbine while providing the desired total wind farm power.
AB - The wind farm has an intrinsically distributed structure, where wind turbines are counted as subsystems of the distributed system. The coupling between the subsystems is the wind flow and the power reference set-points across the turbines, which are designed to provide the total wind farm power demand. Distributed controller design commences with formulating the problem, where a structured matrix approach has been put in practice. Afterwards, an H2 control design formulation is used to find the control signal set points for the wind farm to minimize structural loads on the turbine while providing the desired total wind farm power.
KW - Load and power optimization
KW - Wind farm control
KW - Wind farm model
U2 - 10.1016/j.jweia.2013.08.011
DO - 10.1016/j.jweia.2013.08.011
M3 - Journal article
AN - SCOPUS:84886992044
SN - 0167-6105
VL - 123
SP - 88
EP - 98
JO - Journal of Wind Engineering & Industrial Aerodynamics
JF - Journal of Wind Engineering & Industrial Aerodynamics
ER -