Design of GSC and RSC controllers for DFIG using GA based optimization algorithm

As the dependency on renewable energy sources is increasing rapidly; maintaining the stability in power system network becomes rigorous task for grid engineers during the abnormal conditions. Doubly-Fed Induction Generator (DFIG) is the well proved economic and reliable generator in wind power applications; but due to stator of DFIG direct connection with the grid, it exhibits the low transient stability margin during the faults on grid. This paper, presented a new method on the optimization algorithm based specifically genetic algorithm in combination with the conventional pole placement method to select the Proportional Integral (PI) controller optimal gains of both grid side converter (GSC) and rotor side converter (RSC) of DFIG. Results from the simulation confirm that DFIG exhibits the increased transient stability margin and improved voltage, current, power and fault ride through profile as compared with conventional method of tuning of PI controllers.