Stability Enhancement using Hybrid Power System Stabilizer Auto Tuned by Breeder Genetic Algorithm

The design and implementation of Power System Stabilizer (PSS) in a multimachine power system based on innovative evolutionary algorithm plainly as Breeder Genetic Algorithm (BGA) with Adaptive Mutation is described in this paper. For the analysis purpose a Conventional Power System Stabilizer and a Conventional Genetic Algorithm based Power System Stabilizer are designed and implemented in the same system. Simulation results on multimachine system subjected to small perturbation and three phase fault radiates the effectiveness and robustness of the proposed PSS over a wide range of operating conditions and system configurations. The results have shown that Adaptive Mutation BGAs are well suited for optimal tuning of PSS and they work better than Conventional Genetic Algorithm, since they have been designed to work on continuous domain. The effectiveness and feasibility of the proposed Power System Stabilizer is demonstrated through a three machine nine bus WSCC system and New England 10-machine system which shows better results when compared to the Conventional Genetic Algorithm.