Optimal Location and Size Determination of FACTS Devices by using Multiobjective Optimal Power Flow

被引：11
|
作者：
Malakar, T. [1 ]
Sinha, N. [1 ]
Goswami, S. K. [2 ]
Saikia, L. C. [1 ]
机构：
[1] Natl Inst Technol Silchar, Dept Elect Engn, Silchar 788010, Assam, India
[2] Jadavpur Univ, Dept Elect Engn, Kolkata 700032, W Bengal, India
来源：
TENCON 2010: 2010 IEEE REGION 10 CONFERENCE | 2010年
关键词：
Multiobjective optimization; optimal power flow; nondominated sorting; genetic algorithm; flexible ac transmission systems;
D O I：
10.1109/TENCON.2010.5686706
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：
This paper proposes an algorithm based on nondominated sorting genetic algorithm (NSGA-II) with the feature of adaptive crowding distance for solving multiobjective optimal power flow (MOOPF) problem to find the optimal location and capacity of FACTS devices in power system. The problem is formulated as mixed integer one with both continuous and discrete control variables. Two types of FACTS devices (TCSC and SVC) are modeled and analyzed to improve the steady state performance of power system. The performance of the proposed algorithm has been tested on IEEE-30 bus systems. The results demonstrate that the proposed approach is quite efficient in finding optimal solutions.
引用
收藏
页码：474 / 478
页数：5
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