摘要
基于单机无穷大系统模型,用粒子群优化算法(PSO)对发电机电力系统稳定器(PSS)进行参数优化,来抑制低频振荡。介绍了基本的粒子群优化算法的原理,并用改进的带约束的粒子群优化算法优化PSS的参数,将PSS的整个设计过程转化为一组参数进行寻优的过程,提高了多参数寻优的效率。用Matlab仿真软件进行仿真,仿真结果表明,利用该方法设计的PSS,它的小信号稳定性有了较大的提高。
Based on the single plane infinity system model, this paper uses particle swarm optimization （PSO） on generator power system stabilizer （PSS） for parameter optimization to curb low frequency vibration. This paper introduces the basic PSO algorithm principle. And with improved constrained PSO to optimize PSS the parameter, it transfers the process of design of PSS to the process of optimization for a set of parameters, the efficiency of optimization for multiparameter is promoted, MATLAB simulation results show that the small-signal stability of the PSS with the method is enhanced.
出处
《继电器》
CSCD
北大核心
2008年第4期23-26,共4页
Relay
关键词
电力系统稳定器
粒子群优化算法
单机无穷大
参数寻优
仿真
power system stabilizer （PSS）
Particle Swarm Optimization （ PSO）
single machine with infinite bus
parameter optimization
simulation
