Optimized Control of a Self Excited Induction Generator for Power Quality Improvement

In the present era,Non- conventional energy generation systems, contributing a high percentage in in Power generation. Among the non-conventional energy generation systems, wind energy generation is the most important one for the generatipower. The doubly-fed induction generator (DFIG) is currently the system of choice for multi-MW wind turbines.The DFIG technology allows extracting maximum energy from the wind for low wind speeds by optimizing the turbine speed, presently DFIG based wind turbines are quite popular as it can extract maximum power. Though the DFIG based wind turbines can able to provides maximum extent of power but greatly suffers from the power oscillation during wind speed variations, to overcome this problem this work proposes a novel PID type Fuzzy Controller (PIDFC) for efficient pitch angle control of DFIG system for wind power generation, so that the DFIG based wind turbines not only able to provide maximum power but the power obtained will be highly stable also, irrespective to the wind speed fluctuations. For the comparative analysis, a comparison is also presented between the conventional PI controller and proposed PIDFC controller. The obtained result indicates that, the proposed method is highly efficient to sustain the power oscillations as compare to state of art techniques. In addition to this it is also found that, the proposed PIDFC based pitch angle controller takes 80% less settling time as compare to conventional PI controller.