Model Predictive Based Control of Wind Turbine Blade Pitch Angle
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Abstract
The utilization of wind energy has become increasingly crucial in the energy composition
of numerous countries and is projected to continue expanding in the forthcoming years.
Wind turbine control has evolved into a crucial element within contemporary wind turbine
systems. However, wind energy has emerged as a promising and sustainable source of
power generation, but the intermittent and unpredictable nature of wind presents
significant challenges for efficient and reliable operation of wind turbines. When the
strong wind appears, power fluctuation is occurred, this leads to damage many materials.
Accurately predicting and effectively managing the output power of wind turbines is
crucial to mitigate the adverse impacts caused by excessive power fluctuations on both the
wind turbine itself and the power grid. It is essential to ensure proper planning and control
measures are in place to maintain stable and reliable operation. Since the wind turbines
are nonlinear systems, the blade pitch angle plays a crucial role in capturing the maximum
energy from the wind and ensuring safe turbine operation. This thesis developed a control
strategy that maximizes energy extraction from the wind while maintaining the structural
integrity of the turbine. Model predictive control (MPC) has chosen as the foundation for
this approach due to its ability to handle complex and uncertain dynamics inherent in the
wind turbines. To investigate the regulation of the pitch angle in a wind turbine, a
comprehensive mathematical model encompassing all the system's elements has
constructed. To facilitate simulation, the MATLAB software tool is utilized to develop the
pertinent models. The MPC controller achieves a maximum pitch angle of 1.57 radians or
90 degrees. In the case of wind speeds ranging between the cut-in and rated speed, the
pitch angle needs to be adjusted based on the prevailing wind speed. When the wind speed
reached at nominal values, the pitch angle maintained at 0 radian. The generator speed
settling time of PI is 1.3461 sec and rise time is 0.0806 sec. The generator speed settling
time of MPC is 1.1995 sec and rise time is 0.0803 sec. The highest overshoot generator
output power for PI is 5.035 MW which means 0.70% above the rated speed. The highest
overshoot generator output power for MPC is 5.0145 MW which means 0.29% above the
rated speed. In general, the MPC controller shows the higher quality stability of output
power.
