电子器件2016，Vol.39Issue(5)：1244-1250,7.DOI:10.3969/j.issn.1005-9490.2016.05.043
基于相位补偿法和粒子群算法的PSS4B参数优化方法
A Method of PSS4B Parameters Optimization Based on the Phase Compensation Method and Particle Swarm Algorithm
摘要
Abstract
With the development of power grid scale,power system low frequency oscillation is becoming an increas⁃ingly outstanding problem. Power system stabilizer is one of the effective measures which can solve the low frequen⁃cy oscillation.Aiming at some problems existing in using of PSS,optimum research on the model parameters of pow⁃er system stabilizer,based on the phase compensation method and particle swarm optimization algorithm. The RTDS is used to establish the simulation experiment,after optimized the model parameters of the wild band power system stabilizer. The results show that optimized PSS4B can meet the requirements of multiple frequency bands, and effectively suppress lowfrequency oscillation.关键词
电力系统稳定器/相位补偿法/粒子群算法/宽频段/参数优化Key words
power system stabilizer(PSS)/phase compensation method/particle swarm optimization(PSO)/multi-band/parameter optimization分类
信息技术与安全科学引用本文复制引用
沈鑫,马红升,李仕林,王昕,刘清蝉..基于相位补偿法和粒子群算法的PSS4B参数优化方法[J].电子器件,2016,39(5):1244-1250,7.基金项目
云南省教育厅重大专项研究项目 （）
