Title :
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
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;
Conference_Titel :
Computer Applications and Industrial Electronics (ICCAIE), 2011 IEEE International Conference on
Conference_Location :
Penang
Print_ISBN :
978-1-4577-2058-1
DOI :
10.1109/ICCAIE.2011.6162118