Optimal Design of Power System Stabilizer Using Improved Abc Algorithm

This paper presents an Improved Artificial Bee Colony (IABC) algorithm to optimal tune of the Power System Stabilizer (PSS). In the IABC algorithm an interactive strategy is introduced by considering the universal gravitation to the movement of onlooker bees in the original Artificial Bee Colony (ABC) to enhance exploration ability of the ABC algorithm. The robustly PSS tuning problem is formulated as an optimization problem according to the time domain-based objective function for a wide range of operating conditions. It is solved by the IABC technique to reduce PSS design effort and find the best system damping characteristics. The proposed Improved ABC based PSS is tested on a in a Single-Machine connected to Infinite-Bus (SMIB) power system through the nonlinear time domain simulation and some performance indices. The results is compared with the original ABC based tuned stabilizer and conventional PSS to illustrate its robust performance. Results evaluation show that the optimized PSS using the proposed IABC algorithm achieves good damping of low frequency oscillations for wide range of system operation conditions and is superior to the other PSSs.