DocumentCode :
2101894
Title :
Optimal multi-type FACTS allocation using genetic algorithm to improve power system security
Author :
Baghaee, H.R. ; Jannati, M. ; Vahidi, B. ; Hosseinian, S.H. ; Jazebi, S.
Author_Institution :
Electr. Eng. Dept., Amirkabir Univ. of Technol., Tehran
fYear :
2008
fDate :
12-15 March 2008
Firstpage :
162
Lastpage :
166
Abstract :
As power transfer increases, operation of power system become gradually more complex. Short circuit level increases and so power system will become less secure. Moreover, the problem of power system security has become a mater of grave concern in the deregulated power industry. FACTS devices can control power flow because of their flexibility and fast control characteristics. Placement of these devices in suitable location can lead to control in line flow and maintain bus voltages in desired level and so improve power system security. This paper presents a novel algorithm for allocation of FACTS devices based on genetic algorithm (GA). Cost function of FACTS devices and power system losses are considered in this algorithm. Proposed algorithm is tested on IEEE 30 bus power system for optimal allocation of multi-type FACTS devices and results are presented.
Keywords :
IEEE standards; flexible AC transmission systems; genetic algorithms; power system security; FACTS devices; IEEE 30 bus power system; genetic algorithm; multi-type FACTS allocation; power system losses; power system security; Control systems; Genetic algorithms; Load flow; Power capacitors; Power system modeling; Power system reliability; Power system security; Power transmission lines; Static VAr compensators; Thyristors; FACTS Devices; Genetic Algorithm; Optimal Allocation; Power System Security;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power System Conference, 2008. MEPCON 2008. 12th International Middle-East
Conference_Location :
Aswan
Print_ISBN :
978-1-4244-1933-3
Electronic_ISBN :
978-1-4244-1934-0
Type :
conf
DOI :
10.1109/MEPCON.2008.4562387
Filename :
4562387
Link To Document :
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