Optimization of DFIG Control Parameters Using ITAE Criterion in order to Improve Stability

The increasing power demand and shortage of energy resources has led to the growth of new technologies that play a salient role in shaping the future market. In the very near future distributed generation (DG) play an important part in power systems. Doubly fed induction generators (DFIGs) are one of the major components of DG. These generators have a large impact on power system stability and reliability. Therefore, stability of DFIG wind turbines is necessary to be studied. This paper presents the impact of DFIG optimized control parameters on the stability of wind power plant. At first, the integral of time multiply by absolute error (ITAE) as an appropriate criterion is suggested in order to choose the objectivefunction for minimizing oscillations resulted from disturbances. Then optimized tune of DFIG control parameters will be done by genetic algorithm in the form of an optimization. Ultimately, efficiency of suggested methods will be considered in order to improve stability of DFIG. This topic is evaluated and analyzed in a sample network with considering and comparison of results. All simulation and optimization steps are done by MATLAB software.

Optimization of DFIG Control Parameters Using ITAE Criterion in order to Improve Stability Keywords:

Doubly fed induction generator (DFIG) , DFIG voltage regulator , optimization , rotor speed stability , integral of time multiply by absolute error (ITAE