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Optimization of Direct Power Control in Doubly-Fed Induction Machine (DFIM) using PSO Algorithm

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Abstract (2. Language): 
Doubly-fed induction generators (DFIG) are widely used in wind power plants due to several advantages such as partial rating converter, the ability of decoupled active and reactive power control, etc. This paper discusses modeling and control of doubly-fed induction generator using direct power control method. Direct power control method is based on active and reactive power control that can be controlled independently. This method has better dynamic rather than other methods. In this paper the model of doubly-fed induction machine has been expressed with some relations. We have used an intelligent optimization method named PSO for optimization of control parameters at the PI controller used in this control system. PSO methods avoid the shortcoming of premature convergence and can obtain a solution with better computation efficiency. Simulation results based on this method has been compared with the results based on trial and error method. Evaluation and comparison between these methods shows that when using PSO method, the stator active and reactive power ripple can be reduced than the trial and error method. Improvement in the harmonics of the input and output currents of the machine would be one of the other results of using this method.
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