Implementation and Analysis of BBO Algorithm for Better Damping of Rotor Oscillations of a Synchronous Machine

In this paper, a new evolutionary algorithm, namely the biogeography-based optimization (BBO) algorithm, is proposed to tune the Proportional Integral Derivative (PID) controller and power system stabilizer (PSS) parameters. The efficiency of BBO algorithm is verified on the single-machine infinite-bus (SMIB) system for various operating conditions. The proposed method suppresses the (0.1-2.5 Hz) low-frequency electromechanical oscillations and increases the power system stability via minimizing the objective function such as integral square error (ISE). Simulations of BBO-based PID, BBO-based PSS, BBO-based PID-PSS and conventional PSS are performed by using MATLAB /Simulink. The results show that BBO-based PID-PSS method improves the system performance and provides better dynamic performance.