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
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