An improved model predictive control of low voltage ride through in a permanent magnet synchronous generator in wind turbine systems

2019 ◽  
Vol 21 (4) ◽  
pp. 1991-2003
Author(s):  
Behnaz Babaghorbani ◽  
Mohammad Taghi Hamidi Beheshti ◽  
Heidar Ali Talebi
Keyword(s):  
Model Predictive Control ◽  
Wind Turbine ◽  
Permanent Magnet ◽  
Predictive Control ◽  
Low Voltage ◽  
Synchronous Generator ◽  
Permanent Magnet Synchronous Generator ◽  
Low Voltage Ride Through ◽  
Improved Model

scholarly journals Multimodel Modeling and Predictive Control for Direct-Drive Wind Turbine with Permanent Magnet Synchronous Generator

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Lei Wang ◽  
Tao Shen ◽  
Chen Chen
Keyword(s):  
Nonlinear System ◽  
Wind Turbine ◽  
Permanent Magnet ◽  
Predictive Control ◽  
Wind Turbines ◽  
Linear Models ◽  
Synchronous Generator ◽  
Optimal Operation ◽  
Direct Drive ◽  
Permanent Magnet Synchronous Generator

The safety and reliability of the wind turbines wholly depend on the completeness and reliability of the control system which is an important problem for the validity of the wind energy conversion systems (WECSs). A method based on multimodel modeling and predictive control is proposed for the optimal operation of direct-drive wind turbine with permanent magnet synchronous generator in this paper. In this strategy, wind turbine with direct-drive permanent magnet synchronous generator is modeled and a backpropagation artificial neural network is designed to estimate the wind speed loaded into the turbine model in real time through the estimated turbine shaft speed and mechanical power. The nonlinear wind turbine system is presented by multiple linear models. The desired trajectory of the nonlinear system is decomposed to be suitable for the reference trajectory of multiple models that are presented by the linear models of the nonlinear system, which simplifies the nonlinear optimization problems and decreases the calculation difficulty. Then a multivariable control strategy based on model predictive control techniques for the control of variable-speed variable-pitch wind turbines is proposed. Finally, simulation results are given to illustrate the effectiveness of the proposed strategy, and the conclusion that multiple model predictive controller (MMPC) has better control performance than the PI control method is obtained.

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