DYNAMIC STABILITY IMPROVEMENT BY USING UNIFIED POWER FLOW CONTROLLER

被引:0
|
作者
Abazari, Saeed [1 ]
机构
[1] Sahrekord Univ, Dept Elect Engn, Shahrekord City, Iran
关键词
dynamic stability; unified power flow controller; transient energy function; algorithm particle swarm optimization;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, using the Lyapunov energy function, improvement of the dynamic stability of a unified power flow controller (UPFC) by proper control of the coefficients is studied. The proposed method uses the particle swarm optimization (PSO) algorithm to estimate the coefficients in order to improve the stability. The proposed method is robust against changing the parameters of the system and the damping ratio of fluctuations is fast when the topology is changed. Simple implementation of the control function is of the benefits of the proposed method. Simulation results for SMIB with UPFC show the effectiveness of the proposed method.
引用
收藏
页码:123 / 136
页数:14
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