كنتذل و توزيع توان راكتيو بين ژنراتورهاي القايي با تغذيه دو گانه در يك نيروگاه بادي به روش فازي - عصبي

Control and Distribution of Reactive Power between Dual-Fed Induction Generators in a Wind Farm via Neuro-Fuzzy Technique

Modeling and simulation of a wind farm power generation is an essential tool for the location of new farms. In this paper, control and distribution of reactive power in wind farms made up with doubly fed induction generators (DFIG) is studied. After brief description of a wind turbine, dynamic model of a DFIG in the reference frame fixed to stator-flux linkage space phasor is developed and simulated. To robust control of reactive and active components of each generator power, Adaptive Neuro-Fuzzy Intelligent Systems (ANFIS) is used. After validation of the developed model, control of reactive power in a wind farm and its distribution between DFIG generators in various wind speeds are studied and the proposed Neuro-Fuzzy controller is used for the reactive power control in the wind farm. From the performed simulations it can be concluded that the Neuro-Fuzzy controller would be more efficient and robust in both cases: vector control of DFIG drive and control and distribution of wind farm reactive power.