中文摘要：

电力系统稳定器（Pss）的性能受其参数影响很大，如何对其参数进行协调优化是一个值得深入研究的问题。基于单机无穷大系统和4机2区域系统模型，通过采用SFPSO算法对电力系统稳定器进行参数的协调优化，以抑制低频振荡。随机聚焦粒子群算法SFPSO（ Stochastic focusing particle swarm optimization ）是一种应用于连续空间的、具有较好的全局搜索能力和寻优速度的改进粒子群算法（PSOo通过仿真测试以及不同算法优化结果的对比，结果表明，利用该方法设计的PSS，在不同的干扰下都具有良好的性能，对系统的稳定性提升有较大帮助。

英文摘要：

The performance of power system stabilizer（PSS）is evidently influenced by its parameter. How to optimize parameter of PSS is worth to further research. To suppress the low frequency oscillation, stochastic focusing particle swarm optimization （SFPSO） is proposed to optimize the parameter of PSS based on the model of single-machine with infinite-bus system and 2-area 4-machine system. SFPSO applied to continuous space is an advanced particle swarm optimization （PSO） algorithm with preferable ability of global search and search rate. The simulation results and the comparison results with various optimization algorithms demonstrate that PSS can obtain the favorable performance using SFPSO under different disturbance. It help enhance the stability of system. This work is supported by National Natural Science Foundation of China（No. 60870004）.