The following information was submitted:
Transactions: Please, select the Journal that you submit to
Transactions ID Number: 89-602
Full Name: R asyidah Mohamad Idris
Position: Lecturer
Age: ON
Sex: Female
Address: Fakulti Kejuruteraan Elektrik, Universiti Teknologi Malaysia, 81300 Skudai, Johor
Country: MALAYSIA
Tel: 60166296954
Tel prefix: 607 5535801
Fax: 607 5566272
E-mail address: rasyidah@fke.utm.my
Other E-mails: syida_i@yahoo.com
Title of the Paper: Optimal Allocation of FACTS Devices in Deregulated Electricity Market Using Bees Algorithm
Authors as they appear in the Paper: R.Mohamad Idris, A.Khairuddin, M.W.Mustafa
Email addresses of all the authors: rasyidah@fke.utm.my,azhar@fke.utm.my,wazir@fke.utm.my
Number of paper pages: 12
Abstract: In this paper, a novel method using Bees Algorithm is proposed to determine the optimal allocation of FACTS devices for maximizing the Available Transfer Capability (ATC) of power transactions between source and sink areas in the deregulated power system. The optimizations are made on three parameters: the location of the devices, their types and their sizes. The FACTS devices are located in order to enhance the available transfer capability (ATC) between source and sink area. Four types of emerging FACTS controllers are used and modeled for steady state studies, namely; TCSC, SVC, UPFC and TCPST. The IEEE9 bus test system and IEEE118 Bus test system are used to illustrate the applicability of the proposed algorithm to enhance ATC effectively. The installation costs of FACTS devices are also included. A Genetic Algorithm (GA) configured to the same purpose is used for validation. Results show the difference of efficiency of the devices used in this situation. The!
y also show that simultaneous use of several kinds of controllers is the most efficient solution to increase the ATC. The obtained results indicate that both techniques can successfully find the optimal solution and parameter setting of FACTS devices, but BA is better in term of value of objective function and speed of convergence compared to GA.
Keywords: Bees Algorithm, GA, ATC, FACTS, SVC, UPFC, TCPST, TCSC
EXTENSION of the file: .doc
Special (Invited) Session: The Placement of FACTS Devices in Modern Electrical Network Using Bees Algorithm
Organizer of the Session: 642-150
How Did you learn about congress: I.Musirin, ismailbm@salam.uitm.edu.my
IP ADDRESS: 161.139.220.51
