Multi-objective optimization of power system performance with TCSC using the MOPSO algorithm

被引：0
|
作者：
Mollazei, Sara [1 ]
Farsangi, Malihe M. [1 ]
Nezamabadi-Pour, Hossein [1 ]
Lee, Kwang Y. [2 ]
机构：
[1] Kerman Univ, Kerman, Iran
[2] Penn State Univ, Dept Elect Engn, University Pk, PA 16802 USA
来源：
2007 IEEE POWER ENGINEERING SOCIETY GENERAL MEETING, VOLS 1-10 | 2007年
关键词：
multi-objective optimization; multi-objective particle swarm optimization; sigma method; TCSC; TTC;
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, Multi-objective Particle Swarm Optimization (MOPSO) Algorithm is used to find the optimal location of Thyristor Controlled Series Compensator (TCSC) and its parameter in order to increase Total Transfer Capability(TTC), reduce total transmission losses and reduce voltage deviation. This multi-objective optimization problem is solved by using the MOPSO with sigma method and encouraging results are obtained.
引用
收藏
页码：2538 / +
页数：3
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