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Commenced in January 2007 Frequency: Monthly Edition: International Publications Count: 29838

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Optimal Choice and Location of Multi Type Facts Devices in Deregulated Electricity Market Using Evolutionary Programming Method
This paper deals with the optimal choice and allocation of multi FACTS devices in Deregulated power system using Evolutionary Programming method. The objective is to achieve the power system economic generation allocation and dispatch in deregulated electricity market. Using the proposed method, the locations of the FACTS devices, their types and ratings are optimized simultaneously. Different kinds of FACTS devices are simulated in this study such as UPFC, TCSC, TCPST, and SVC. Simulation results validate the capability of this new approach in minimizing the overall system cost function, which includes the investment costs of the FACTS devices and the bid offers of the market participants. The proposed algorithm is an effective and practical method for the choice and allocation of FACTS devices in deregulated electricity market environment. The standard data of IEEE 14 Bus systems has been taken into account and simulated with aid of MAT-lab software and results were obtained.
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[1] L.J. Cai, I. Erlich and G. Stamtsis, “Optimal choice and allocation of FACTS devices in deregulated electricity markets using genetic algorithms”, IEEE Power Engineering Society Power System Conference and Exposition, vol. 1, pp 201-207, October 2004.
[2] J. Baskaran, Dr. V. Palanisamy, “Genetic Algorithm applied to Optimal Location of FACTS devices in a power system network considering economic saving cost”, Academic open internet journal, vol 15, 2005.
[3] S. Gerbex, R. Cherkaoui, and A.J. Germond, “Optimal location of multi type FACTS devices in a power system by means of genetic algorithms”, IEEE Trans. Power system, vol. 16, pp. 537-544, August 2001.
[4] Mrs. S. Latha, Mrs. Raja Mary Slochanal & Mr. K. Balamurugan, “Optimum size and Location of UPFC Using the Method of Evolutionary Programming”, IE-Journal (EL), Vol-83, Dec-2002, Page No. 242 to 245.
[5] T. S. Chung, and Y. Z. Li, “A hybrid GA approach for OPF with consideration of FACTS devices” , IEEE Power Engineering Review, pp.47-57, February 2001
[6] E. Handschin and C. Lehmkoster, “Optimal Power Flow for Deregulated System with FACTS Devices”, Proc. 13th PSCC, Trondheim, Norway, June-28-July-2, pp.1270-1276, 1999.
[7] S.C. Srivastava and R.K. Verma, “Impact of FACTS devices on transmission pricing in a deregulated electricity market”, International Conference on Electric Utility Deregulation and Restructuring and Power Technologies, pp 642– 648, 4-7 April 2000.
[8] Lijun Cai and Istvan Erlich, “Optimal Choice and Allocation of FACTS Devices using Genetic Algorithms”, ISAP, Intelligent System Application to Power System, Lemnos, Greece, August 31 – September 3, 2003.
[9] G.C. Stamtsis, “Power Transmission Cost Calculation in Deregulated Electricity Market”, Logos Verlag Berlin, ISBN 3-8325-0452-4, Berlin, 2004.
[10] E. J. de Oliveira, J. W. M. Lima, J. L. R. Pereira, “Flexible AC transmission devices: Allocation and transmission pricing”, Electrical Power and Energy System, 21, pp. 111-118, 1999.
[11] Mrs. G. Suganya, Mr. K. Balamurugan, Dr. V. Dharmalingam, “Multiobjective Evolutionary Programming Technique for Economic / Emission Load Dispatch”, IEEE-International Conference on Advances in Engineering, Science and Management, ICAESM-2012, Article number-6216128, Pages 269-275, 30, 31 March 2012.
[12] W. L. Fang, and H. W. Ngan, “Optimising location of unified power flow controllers using the method of augmented Lagrange multipliers”, IEE Proc.-Gener. Transm. Distrib, vol. 146, pp. 428-434, September 1999.
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