Power system security improvement with optimal placement of FACTS devices using genetic algorithms

Author

Ghanaati, Omid ; Seirafian, Vahid Reza ; Naderpour, Iman ; Teymouri, Jalal

Author_Institution

Dept. of Electr. Eng., Islamic Azad Univ., Abadeh, Iran

fYear

2011

fDate

4-7 Dec. 2011

Firstpage

126

Lastpage

131

Abstract

The role of the FACTS device in power system security enhancement is very important. But type and location of this device must be defining. This paper presents a novel algorithm for allocation of multi-type FACTS devices based on Genetic Algorithm (GA) using a multi-objective optimization function. Proposed algorithm is tested on IEEE 5&6test system and WSCC 9-bus power system and enhancement security index to more of the double and decrease the loss of system about 25%. With shown the comparison of this paper results and result in a recent paper, indicate the ability of proposed method to enhancement of power system security.

Keywords

flexible AC transmission systems; genetic algorithms; power system security; FACTS devices; IEEE test system; WSCC 9-bus power system; genetic algorithms; multiobjective optimization function; optimal placement; power system security; Genetic algorithms; Indexes; Load flow; Mathematical model; Power capacitors; Thyristors; FACTS Devices; Genetic Algorithm; Power Systems Security; Security Index;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Applications and Industrial Electronics (ICCAIE), 2011 IEEE International Conference on

Conference_Location

Penang

Print_ISBN

978-1-4577-2058-1

Type

conf

DOI

10.1109/ICCAIE.2011.6162118

Filename

6162118