TY - GEN
T1 - Linear Quadratic Gaussian (LQG) Control of wind turbines
AU - Kalbat, Abdulrahman
PY - 2013
Y1 - 2013
N2 - With the increasing deployment of wind energy technologies, innovative modern control theories, which utilize linear time invariant models, are being developed. The potential for the success of utilizing these theories is better with the availability of concepts such as the variable speed wind trubines. Such control theories are not only capable of increasing the energy capture efficiency of the wind turbines, but also reducing the number of measurements needed which in turn reduces the operation and maintenance costs associated with the system. In this paper, the general formulation of the Linear Quadratic Gaussian Control (LQG) along with the design procedures and the assumptions needed will be stated. Then, a numerical model for the Controls Advacned Research Turbine (CART) that was created and field tested by the National Renewable Energy Laboratory (NREL) will be used to simulate LQG regulator using MATLab script. At the end, the results obtained from the simulation will be presented and the limitations of the LQG controller will be discussed.
AB - With the increasing deployment of wind energy technologies, innovative modern control theories, which utilize linear time invariant models, are being developed. The potential for the success of utilizing these theories is better with the availability of concepts such as the variable speed wind trubines. Such control theories are not only capable of increasing the energy capture efficiency of the wind turbines, but also reducing the number of measurements needed which in turn reduces the operation and maintenance costs associated with the system. In this paper, the general formulation of the Linear Quadratic Gaussian Control (LQG) along with the design procedures and the assumptions needed will be stated. Then, a numerical model for the Controls Advacned Research Turbine (CART) that was created and field tested by the National Renewable Energy Laboratory (NREL) will be used to simulate LQG regulator using MATLab script. At the end, the results obtained from the simulation will be presented and the limitations of the LQG controller will be discussed.
KW - Estimation
KW - Kalman Filter
KW - Linear Quadratic Gaussian
KW - LQG
KW - Wind Turbine
UR - http://www.scopus.com/inward/record.url?scp=84893767023&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84893767023&partnerID=8YFLogxK
U2 - 10.1109/EPECS.2013.6713053
DO - 10.1109/EPECS.2013.6713053
M3 - Conference contribution
AN - SCOPUS:84893767023
SN - 9781479906888
T3 - 2013 3rd International Conference on Electric Power and Energy Conversion Systems, EPECS 2013
BT - 2013 3rd International Conference on Electric Power and Energy Conversion Systems, EPECS 2013
T2 - 2013 3rd International Conference on Electric Power and Energy Conversion Systems, EPECS 2013
Y2 - 2 October 2013 through 4 October 2013
ER -
