Memetic SSA Tuned Compensated Hydro Governor to Damp Power System Oscillations for Variable Wind Penetrations

In the present work Memetic Salp Swarm Algorithm (MSSA) tuned compensated hydro governor parameters has been proposed to damp power system oscillations for random variation in wind penetration. The system considered here is a four-machine system with hydro generators equipped with compensated governors. The Woodward type PID governor has been used for all the hydro generators but additional compensation network based on lead-lag structure has been implemented with all the hydro generators. The parameters of hydro generator compensators are tuned by MSSA. The MSSA has also been compared with SSA. To justify the efficiency of proposed control action, case studies has been considered with variation in wind penetrations. These variations include sudden and random generations of wind sources and subject to these local oscillations and inter-area oscillation have been analyzed with Eigen value distributions. The proposed control action Eigen value shifted more left side of s-plane as compared to proposed controller tuned by SSA and governor tuned by MSSA. For different cases with random and sudden variation of wind sources, the system responses and Eigen distributions predict that MSSA tuned compensated hydro governor can efficiently impact damping torque for power system oscillations subject to random variations in wind generations.