Biogeography Inspired Optimization Approaches for Optimal Sizing of PSS to Mitigate Electromechanical Mode Oscillations in Power System Karthikeyan K.*, Lakshmi P.** *Department of Electrical and Electronics Engineering, Tagore Engineering College, Chennai, Tamilnadu, India **Department of Electrical and Electronics Engineering, College of Engineering, Anna University, Guindy, Chennai, Tamilnadu, India Online published on 23 March, 2017. Abstract This paper presents an application of biogeography inspired optimization methods to enhance the rotor angle stability by mitigating the electromechanical mode oscillations in the presence of Power System Stabilizer (PSS) with a proposed multi objective mathematical model of minimizing damping factor and maximizing the damping ratio in anelectric power system. Newly proposed meta-heuristic optimization techniques named as Biogeography Based Optimization (BBO) and Oppositional Biogeography Based Optimization (OBBO) are utilized to explore the optimal sizing of PSS parameters such as gain, lag-lead time constants and washout time constant. These advances are tested in two area four machine (kundur system) and typical New York-New England (NYNE) (16-machine, 68 buses) interconnected system at different scenarios to show the performance and effectiveness of the proposed methods. Results obtained for both eigenvalue analysis and nonlinear time domain transient analysis are reassuring the validity of the proposed methods for the effective mitigation of electromechanical mode oscillations compared with Genetic Algorithm (GA), Artificial Bee Colony (ABC), BBO and Sequential Quadratic Programming based ABC (ABC-SQP) approaches. Top Keywords PSS design, BBO, OBBO, Multi-machine systems, Eigenvalues, Damping ratio, Transient analysis, Performance index. Top |