DocumentCode
3251406
Title
A multi-objective Bees Algorithm for optimum allocation of FACTS devices for restructured power system
Author
Idris, R. Mohamad ; Khairuddin, A. ; Mustafa, M.W.
Author_Institution
Dept. of Electr. Eng., Univ. Teknol. Malaysia, Skudai, Malaysia
fYear
2009
fDate
23-26 Jan. 2009
Firstpage
1
Lastpage
6
Abstract
In this paper, a novel multi-objective bees algorithm (MOBA) is used for the optimal allocation of FACTS devices in restructured power system. To enhance the available transfer capability (ATC) of power transactions between source and sink areas and minimizing the overall system cost function, which comprises of the investments costs of FACTS devices and generation cost the problem is formulated as multi-objective optimization. Three types of FACTS are simulated in this study namely thyristor controlled series compensator (TCSC), static var compensator (SVC) and thyristor controlled phase shift transformer (TCPST). An IEEE30 bus system is used to demonstrate the effectiveness of the algorithm as an optimization tool. A non-dominated sorting GA-II technique configured to the same purpose is used for validation purposes. The results obtained are encouraging.
Keywords
flexible AC transmission systems; genetic algorithms; power transformers; static VAr compensators; thyristor applications; FACTS devices; available transfer capability; investments costs; multiobjective bees algorithm; nondominated sorting GA-II technique; power system restructuring; static var compensator; thyristor controlled phase shift transformer; thyristor controlled series compensator; Cost function; Flexible AC transmission systems; Investments; Power capacitors; Power electronics; Power generation; Power system simulation; Power systems; Static VAr compensators; Thyristors; ATC; MOBA; SVC; TCPST; TCSC;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON 2009 - 2009 IEEE Region 10 Conference
Conference_Location
Singapore
Print_ISBN
978-1-4244-4546-2
Electronic_ISBN
978-1-4244-4547-9
Type
conf
DOI
10.1109/TENCON.2009.5395826
Filename
5395826
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