Authors : K. Abdul Hameed and S. Palani
Abstract: This study presents a novel Bacterial Foraging Algorithm (BFA) to tune optimal gains of a Proportional Integral Derivative (PID) type multiple stabilizers for multi machine power system. The problem of robustly tuning of PID based multiple stabilizer design is formulated, as an optimization problem according to the time domain-based objective function which is solved by Bacterial Foraging Algorithm (BFA) that has a strong ability to find the most optimistic results. To demonstrate the effectiveness and robustness of the proposed stabilizers, the design process takes a wide range of operating conditions and system configuration into account. The effectiveness of the proposed stabilizer is demonstrated through non-linear simulation studies and performance indices on a 4 machine 2 area power system in comparison with the Conventional Power System Stabilizers (CPSS) and Particle Swarm Optimization (PSO) based optimized PID type stabilizers (PSOPSS). The results of these studies show that the proposed BFA based optimized PID type stabilizers have an excellent capability in damping power system inter-area oscillations and enhance greatly the dynamic stability of the power system for a wide range of operating conditions. The results obtained using the proposed method is much superior than those obtained by CPSS and PSOPSS based tuned stabilizers in terms of accuracy, convergence and computational effort.
K. Abdul Hameed and S. Palani, 2014. Optimal Tuning of Pid Power System Stabilizer for Multi Machine Power System Using Bacterial Foraging Algorithm (BFA). Journal of Engineering and Applied Sciences, 9: 217-223.