Reactive Power Control of Doubly-Fed Induction Generator Based Wind Turbine with Particle Mass Optimization Algorithm

The stator of the doubly-fed induction generator-based wind turbine is connected directly to the grid, which makes possible reactive power compensation of the grid. In this paper, controlling reactive power in DFIG in two modes, the first assumption is neglecting stator resistance while the second one is considering stator resistance and its flux variations in four performance modes including maximum stator reactive power absorption, maximum stator reactive power generation, mode minimum casualties and minimization modes are provided. For each mode in each of assumptions and optimization problem introduced and PSO algorithm utilized to find a feasible solution. By solving the optimization problems with aim of PSO algorithm, the required for controlling reactive power in each mode is achieved. To demonstrate the efficiency of proposed method, the results compared with another method based on an iterative algorithm. Simulation results show that considering linkage flux variations of stator as a constraint of the optimization problems has led to good performance in controlling reactive power of DFIG.

Reactive Power Control of Doubly-Fed Induction Generator Based Wind Turbine with Particle Mass Optimization Algorithm Keywords:

Wind Turbine , Doubly-Fed Induction Generator , Optimization Algorithm , Reactive Power , توربین بادی , ژنراتور القایی دوسو تغذیه , الگوریتم بهینه‌سازی , توان راکتیو