Optimal design of power system stabilizer using oppositional gravitational search algorithm

In this paper, oppositional based gravitational search algorithm (OGSA) is presented to tune the parameters of power system stabilizer which are added to the excitation to damp low frequency oscillation that pertain in large power system. The most important issue for applying oppositional based GSA is to reach the optimal value in less time. This scheme enables the process to reach the desired value in smaller search space. Computation results illustrate that the proposed techniques is more effective in improving the dynamic performance by damping the low frequency oscillations. The performance of the proposed algorithm is weighed up for different loading conditions. Also the proposed algorithm is more effective in attaining the dynamic stability of the system when compared with other population based optimization techniques like gravitational algorithm (GSA) and differential evolution (DE).