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

作　　者：沈鑫 马红升 李仕林 王昕 刘清蝉 

机构地区：[1]云南电网有限责任公司电力科学研究院,昆明650217

出　　处：《电子器件》2016年第5期1244-1250,共7页Chinese Journal of Electron Devices

基　　金：云南省教育厅重大专项研究项目(2015Z014)

摘　　要：随着电网规模越来越大,电力系统低频振荡问题日益突出。电力系统稳定器是解决低频振荡的有效措施之一,针对目前使用的PSS存在一些不足,对宽频段的电力系统稳定器进行了研究,并采用基于相位补偿法和粒子群优化算法对宽频段电力系统稳定器的模型参数进行优化,通过RTDS仿真和现场实测,说明优化后的PSS4B能够满足不同宽频段的要求,有效抑制低频振荡。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. TheRTDS is used to establish the simulation experiment,after optimized the model parameters of the wild band powersystem 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 

分 类 号：TM712[电气工程—电力系统及自动化] TM44