Integration of Genetically Tuned DFIG to AGC of Power System

Abstract

Load frequency control operations in presence of wind have limitations owing to the power electronic interface linking the DFIG based wind turbine to the power system. A set point method is considered in this study and the speed control parameters of DFIG are genetically tuned by using genetic algorithm tool box with custom made level 1 s function coding in Matlab Simulink Environment. A step load disturbance representing an outage is introduced at time interval of 50 seconds. Following the disturbance the power system models, one with genetically tuned DFIG and another without are simulated in Matlab Simulink Environment. It is seen the DFIG is releasing the inertia present within its rotor and blades. Further It is found with DFIG that the frequency and tie power deviations get reduced significantly. Thus use of DFIG not only dampens oscillations but also makes the system reach steady state stability faster.