Parameters Identification of Synchronous Machine Based on Particale Swarm Optimization

This paper, deals with a meta-heuristic method, the Particle Swarm Optimization (PSO), for operational parameters identification of synchronous machine. The considered method consists minimizing quadratic criterion that represents difference between simulated model at standstill frequency response output and those computed from to be identified. obtained results by simulation show based on particle swarm optimization is efficient in terms convergence speed gives optimal solution.