Robust tuning of power system stabilizers using hybrid intelligent algorithm

摘要

In this paper, a bio inspired hybrid algorithm namely bacterial foraging differential evolution (BFDE) is proposed for design of robust power system stabilizer (PSS) over wide range of operating and system conditions. The benefits of two optimization techniques are integrated in this hybrid algorithm. A multi objective optimization problem with eigenvalue based objective functions is solved for optimal tuning of PSS. The convergence with proposed BFDE algorithm is evaluated for investigation of robustness and effectiveness over the wide range of system conditions. Eigenvalue analysis and time domain responses against different type of disturbances for single machine infinite bus (SMIB) system are demonstrated.