Automatic generation control of multi-source interconnected power system including DFIG wind turbine

This paper presents the solution of automatic generation control (AGC) problem of four-area interconnected power system including DFIG (doubly fed induction generator) wind turbine using gravitational search algorithm (GSA). The GSA is used to tune the gains of the speed as well as pitch angle controller of the DFIG wind turbine along with the proportional integrated derivative (PID) controlled interconnected system. To accelerate the performance of the basic GSA, the opposition based learning concept is embedded in GSA and is known as opposition learning based GSA (OGSA). The simulation results show the effectiveness of the OGSA optimized controllers in comparison to GSA in terms of faster convergence, settling time, overshoot and undershoot of the deviations in frequency and tie-line power. The variation of the wind penetration in the considered power system from 10% to 40% is used to show the competency of the proposed controller. The performance of the proposed controller is also shown for the large load perturbation in the control areas from 0.1 p.u MW to 0.4 p.u MW.