Security/cost-based optimal allocation of multi-type FACTS devices using multi-objective particle swarm optimization

被引：59
|
作者：
Baghaee, Hamid Reza [1 ]
Mirsalim, Mojtaba [1 ]
Gharehpetian, Geveorg B. [1 ]
Kaviani, Ali Kashefi [2 ]
机构：
[1] Amirkabir Univ Technol, Dept Elect Engn, Tehran, Iran
[2] Florida Int Univ, Coll Engn & Comp, ECE Dept, Miami, FL 33199 USA
来源：
SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL | 2012年 / 88卷 / 08期
关键词：
power system security; transmission systems; FACTS devices; multi-objective particle swarm optimization; POWER-FLOW CONTROLLER; OPTIMAL LOCATION; SYSTEM;
D O I：
10.1177/0037549712438715
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Flexible alternating current transmission system (FACTS) devices can regulate the active and reactive power as well as voltage-magnitude. Placement of these devices in suitable locations can lead to the control of line power flow, bus voltages and short circuit currents at desired levels and, as a result, improvement of power system security margins. This paper presents an optimal allocation algorithm for FACTS devices based on a novel m-objective particle swarm optimization method considering both power system costs and security. The proposed algorithm has successfully been applied to an IEEE 30-bus power system and the results are presented and discussed.
引用
收藏
页码：999 / 1010
页数：12
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