Power System Reactive Power Optimization Based on Adaptive Particle Swarm Optimization Algorithm

Aiming at the precocious convergence problem of particle swarm optimization algorithm, adaptive particle swarm optimization(APSO) algorithm was presented. In this algorithm, inertia weight was nonlinearly adjusted by using population diversity information. Velocity mutation operator and position crossover operator were both introduced and the global performance was clearly improved. The algorithm had been applied to reactive power optimization. The simulation results of the standard IEEE-30-bus power system had indicated that APSO was able to undertake global search with a fast convergence rate and a feature of robust computation. It was proved to be efficient and practical during the reactive power optimization.