Modeling for direct-driven wind-power system with PMSG and parameter estimation for its electromechanical transient mathematical model

CHENG Wei, CHEN Hongwei, SHI Qingjun
(College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

Abstract: Aiming at the characters of directdriven windpower system with permanent magnet synchronous generator (PMSG) based on backtoback pulse width modulation（PWM） converter, the wind turbine, the control strategies of turbineside converter and gridside converter were analyzed. PMSG detail model using Matlab/Simulink was established. Based on this, electromechanical transient model for directdriven windturbine generator was constructed according to 3 orders synchronous generator model. Particle swarm optimization(PSO) algorithm  was used to identify the parameter for the mathematical model. The simulation results show that the detail model can  reflect directdriven windpower system’s operation as wind speed changing, while it can track the maximum power point. The electromechanical transient model coincides with the detail model well. It reflects the active and reactive power of the directdriven windpower system when grid voltage is changed. The parameter identification using PSO is effective. The results indicate that the detail model can be used to refine power output control strategy, the electromechanical transient model can be used to study directdriven windpower system interacted with the grid.
Key words:  backtoback pulse width modulation (PWM) converter; electromechanical transient; parameter estimation; particle swarm optimization(PSO)  algorithm