A Swarm Intelligence Based Robust Excitation Controller Design in Power System Dynamic Studies

In the Modern Power System Scenario, Power System damping controllers are widely used in industry to damp the Low Frequency Inertial Oscillations experienced due to disturbance in the System. In this paper, an Swarm intelligence based Algorithm namely Particle Swarm Optimization algorithm (PSO) is implemented to compute the Optimal value of the damping controller parameters to enhance Small signal stability of the Power system.The Excitation Controller design is formulated as an Eigen value based Optimization problem and the damping controller parameters are optimized to shift the system closed loop Eigen values to the left in the complex splane for System Stability. In this work, the Single Machine infinite bus system (SMIB) model is taken into account for Modeling, Analysis and Simulation. To validate the Robustness of the proposed controller, Non linear Simulations have been carried out under various loading conditions of the system operation. The important feature of this paper is the Computation and Analysis of Eigen values and the Comparative study of the system model between Conventional Lead lag stabilizer and the PSO based Damping Controller.