基于阻尼灵敏度指标的PSS参数优化  

Optimization of PSS parameters based on damping sensitivity indices

作　　者：尹波[1] 庞松龄[1] 杨眉[2] 

机构地区：[1]海南电力试验研究所,海南海口570203 [2]东北电力大学,吉林吉林132012

出　　处：《电力系统保护与控制》2011年第8期28-32,共5页Power System Protection and Control

摘　　要：针对区域互联网系统中PSS安装数量不断增多、参数优化困难的问题,提出一种基于灵敏度指标的PSS参数优化的方法。采用局部优化代替全局优化策略,以特征值灵敏度分析方法为基础,通过阻尼比灵敏度指标来选取每个机电模式下的强相关参数,采用自适应遗传算法(AGA)对选取出来的PSS参数进行局部优化,从而减小计算量,增加计算速度,避免出现维数灾问题。通过新英格兰系统的算例分析,表明该方法可有效地达到全局优化的相似作用,满足系统安全稳定运行的要求。Aiming at the problem that the number of installed PSS are increasing and the parameters are difficult to optimize in regional interconnected power grids,a method of PSS parameter optimization is put forward based on sensitivity indices.Adopting local optimization to replace the global optimization,damping ratio sensitivity indices based on eigenvalue sensitivity analysis method are proposed to select strong correlation parameters under each kind of electromechanical mode,then adaptive genetic algorithm（AGA）is used to optimize the selected parameters locally.Thus,the quantity of calculation is reduced,the speed is increased,and the problem of dimensionality calamity is avoided.And the validity of the method is illustrated by analysis of New England Test System,which can meet the demand of the the security and stabilization of power system.

关 键 词：互联系统 电力系统稳定器 遗传算法 阻尼比 特征根灵敏度 

分 类 号：TM712[电气工程—电力系统及自动化]