To avoid dealing with the zero dynamics limitation brought by the bidirectional power flow through the back-to-back converter in a doubly fed wind generator, a new energy-based modeling and control approach for the gr...To avoid dealing with the zero dynamics limitation brought by the bidirectional power flow through the back-to-back converter in a doubly fed wind generator, a new energy-based modeling and control approach for the grid- side converter is presented. During the modeling process, the grid-side converter is divided into two subsystems with the feedback interconnection structure, and the interactive matrix of the model takes into account the concrete port structure. Then, an energy-based controller is proposed to realize the grid-side control objectives based on the new model. Simulation studies are carried out in MATLAB/Simulink. Comparative results between the proportional-integral controller and the energy-based controller show that the latter one can obtain faster convergence rate and global stability as the load current varies. Moreover, the energy-based controller is also competent for grid-side control when simulated in a 2 MW wind energy conversion system with random wind.展开更多
基金supported by the National Natural Science Foundation of China(No.61074086)the Fundamental Research Funds for the Central Universities(No.HIT.NSRIF.2009145)
文摘To avoid dealing with the zero dynamics limitation brought by the bidirectional power flow through the back-to-back converter in a doubly fed wind generator, a new energy-based modeling and control approach for the grid- side converter is presented. During the modeling process, the grid-side converter is divided into two subsystems with the feedback interconnection structure, and the interactive matrix of the model takes into account the concrete port structure. Then, an energy-based controller is proposed to realize the grid-side control objectives based on the new model. Simulation studies are carried out in MATLAB/Simulink. Comparative results between the proportional-integral controller and the energy-based controller show that the latter one can obtain faster convergence rate and global stability as the load current varies. Moreover, the energy-based controller is also competent for grid-side control when simulated in a 2 MW wind energy conversion system with random wind.
