Nonlinear Model Predictive control (NMPC) of fixed pitch variable speed wind turbine

2008 ◽  
Author(s):  
D.Q Dang ◽  
Y. Wang ◽  
W. Cai
Keyword(s):  
Model Predictive Control ◽  
Wind Turbine ◽  
Predictive Control ◽  
Nonlinear Model ◽  
Nonlinear Model Predictive Control ◽  
Variable Speed ◽  
Variable Speed Wind Turbine ◽  
Fixed Pitch

scholarly journals State-Space Modeling and Performance Analysis of Variable-Speed Wind Turbine Based on a Model Predictive Control Approach

2017 ◽  
Vol 7 (2) ◽  
pp. 1436-1443 ◽  
Author(s):  
H. Bassi ◽  
Y. A. Mobarak
Keyword(s):  
Model Predictive Control ◽  
Wind Energy ◽  
Wind Turbine ◽  
State Space ◽  
Predictive Control ◽  
Pitch Angle ◽  
Variable Speed ◽  
Full Load ◽  
Partial Load ◽  
Variable Speed Wind Turbine

Advancements in wind energy technologies have led wind turbines from fixed speed to variable speed operation. This paper introduces an innovative version of a variable-speed wind turbine based on a model predictive control (MPC) approach. The proposed approach provides maximum power point tracking (MPPT), whose main objective is to capture the maximum wind energy in spite of the variable nature of the wind’s speed. The proposed MPC approach also reduces the constraints of the two main functional parts of the wind turbine: the full load and partial load segments. The pitch angle for full load and the rotating force for the partial load have been fixed concurrently in order to balance power generation as well as to reduce the operations of the pitch angle. A mathematical analysis of the proposed system using state-space approach is introduced. The simulation results using MATLAB/SIMULINK show that the performance of the wind turbine with the MPC approach is improved compared to the traditional PID controller in both low and high wind speeds.

scholarly journals Model Predictive Control of DFIG-Based Wind Turbine

2014 ◽  
Author(s):  
Ehsan Gatavi ◽  
Amir H. Shirdel
Keyword(s):  
Model Predictive Control ◽  
Wind Turbine ◽  
Predictive Control ◽  
Optimization Problem ◽  
Multivariable Control ◽  
Quadratic Program ◽  
Variable Speed ◽  
Order Model ◽  
Third Order ◽  
Variable Speed Wind Turbine

This paper presents a centralized multivariable control strategy for the control of the DFIG wind turbine. Model of one-mass wind turbine with DFIG is represented by a third-order model. Model predictive control is applied in order to compensate inaccuracies and measurement noise. The optimization problem is recast as a Quadratic Program (QP) which is highly robust and efficient. In order to bring the problematic voltages as closely as possible to the desired values, multi-step optimization is introduced. The effectiveness of the proposed algorithm is demonstrated for a variable speed wind turbine.

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