关键词: 无功优化;粒子群算法;模拟退火算法; 相结合的算法

Abstract:

Particle swarm optimization (PSO) and simulated annealing algorithm (SA) have several problems when they are used for power system reactive optimization. A novel cooperative algorithm based on PSO and simulated SA was presented  according to the characteristics of PSO and SA. The new method efficiently combines PSO and SA and takes full advantage of the easily implementing performance and fast convergence performance of PSO and global convergence performance of SA to make them cooperate to find the best solution. The simulation results of the IEEE 14, 57,118 systems demonstrated that the proposed cooperative algorithm  can be  easily realized with high efficiency and can obtain higher quality solutions than PSO or SA alone.

Key words: cooperative algorithm; particle swarm optimization; simulated annealing algorithm; reactive power optimization