Multi-machine power system stabilizer design via HPA algorithm [HPA algoritmasi ile çok makinali göç sistemi kararli kilicisi tasarimi]

This paper describes a novel hybrid approach based on particle swarm optimization (pso) and artificial bee colony algorithm (abc) called hpa technique that has powerful capabilities to discover the optimistic results for optimal design of power system stabilizer (pss) in a multi-machine power system. for achieving optimal tuning of pss parameters,the problem of selecting pss parameters is converted to a simple optimization problem with an eigenvalue-based objective function and is solved by using the hpa technique. the effectiveness of the proposed hpa based-pss design is verified through eigenvalue analysis,time domain simulations and some performance indices on a 3-machine 9-bus power system under different disturbances. the results of these studies show that the hpa algorithm is an alternative and more effective optimizer for tuning of pss parameters and enhance greatly the dynamic stability of the power system compared with pso and abc. also,the potential and superiority of the hpa algorithm over pso and abc in terms of computational time,convergence rate and solution quality is proved.