CPSO algorithm based parameter optimization for power system damping controllers

被引：0
|
作者：
Wang Xi [1 ]
Hu Pengfei [1 ]
机构：
[1] Sichuan Elect Engn Res Inst State Grid, Chengdu 610000, Peoples R China
来源：
PROCEEDINGS OF THE 2016 6TH INTERNATIONAL CONFERENCE ON MACHINERY, MATERIALS, ENVIRONMENT, BIOTECHNOLOGY AND COMPUTER (MMEBC) | 2016年 / 88卷
关键词：
power system; damping controller; CPSO (chaotic particle swarm optimization); DESIGN; HVDC;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Wide-area PSS (power system stabilizer) and HVDC (High voltage direct current) modulation are effective damping controllers in power system. With conventional parameter tuning method, the damping of the non-dominate modes would be impaired or new poor damping mode would be triggered. In this paper, the CPSO (chaotic particle swarm optimization) algorithm is used to tune the parameters of damping controller. The aim of the optimization is to provide desired damping ratio for all oscillation modes. A case study verifies the effectiveness of the proposed parameter optimization method.
引用
收藏
页码：2219 / 2222
页数：4
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