Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30172
OPTIMAL Placement of FACTS Devices by Genetic Algorithm for the Increased Load Ability of a Power System

Authors: A. B.Bhattacharyya, B. S.K.Goswami

Abstract:

This paper presents Genetic Algorithm (GA) based approach for the allocation of FACTS (Flexible AC Transmission System) devices for the improvement of Power transfer capacity in an interconnected Power System. The GA based approach is applied on IEEE 30 BUS System. The system is reactively loaded starting from base to 200% of base load. FACTS devices are installed in the different locations of the power system and system performance is noticed with and without FACTS devices. First, the locations, where the FACTS devices to be placed is determined by calculating active and reactive power flows in the lines. Genetic Algorithm is then applied to find the amount of magnitudes of the FACTS devices. This approach of GA based placement of FACTS devices is tremendous beneficial both in terms of performance and economy is clearly observed from the result obtained.

Keywords: FACTS Devices, Line Power Flow, OptimalLocation of FACTS Devices, Genetic Algorithm.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1333796

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 3673

References:


[1] N. Hingorani, " Flexible AC Transmission," IEEE Spectrum, Vol 30, No 4, PP 40-45, April 19993.
[2] M.Noroozian, G. Anderson," Power Flow Control by use of controllable Series Components," IEEE Trans. Power Delivery, Vol 8, No 3, pp 1420-1429,July 1993.
[3] M. Iravani, et al, "Application of static Phase Shifters in Power Systems," IEEE Trans Power Delivery, Vol 9, No 3,pp 1600-1608, July 1994.
[4] D.Ramey, R. Nelson, J. Bian, T. Lemak, "Use of FACTS Power Flow Controllers to enhance Transmission Transfer Limits," Proceedings American Power Conference, Vol 56, Part 1,pp 712-718,Aril 1994.
[5] R. Nelson, J.Bian, S.Williams, " Transmission Series Power Flow Control," IEEE Trans. Power delivery,Vol 10, No 1, pp. 504-510, Jan 1995.
[6] D.J.Gotham and G.T.Heydt, "Power Flow Control and Power Flow Studies for System with FACTS Devices", IEEE Trans Power System, Vol 13, No 1, February 1998.
[7] F.D. Galiana, K. Almeida, "Assessment and Control Of The Impact Of FACTS Devices On Power System Performance", IEEE Transactions on Power Systems, Vol 11, No 4,pp 1931-1936, November 1996.
[8] T.T. Lie, and W. Deng," Optimal Flexible AC Transmission Systems (FACTS) devices allocation," Electrical Power & Energy System, Vol 19,No 2, pp 125-134, 1997.
[9] 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.
[10] S.N.Singh and A.K.David, "Optimal location of FACTS devices for congestion management", Electric Power System Research Vol 58, pp 71-79, 2001.
[11] K.S.Verma, S.N.Singh and H.O.Gupta, "Location of Unified Power Flow Controller for Congestion Management," Electric Power Systems Research, Vol 58, pp. 89-96, 2001.
[12] S.Gerbex, R. Cherkaoui, and A.J. Germond, "Optimal Location of Multitype FACTS Devices in a Power System by Genetic Algorithm,: IEEE Trans. Power System, Vol 16, pp 537-544, August 2001.
[13] B.Bhattacharyya, S.K.Goswami, R.C.Bansal," "Sensitivity Approach in Evolutionary Algorithms for Reactive PowPower Planning" in Vol 37,Issue 3, 2009,pp 287-299 of the international Journal of Electric Power Components & System, Taylor and Francis Group.
[14] L.J.Cai, "Optimal Choice and Allocation of FACTS Devices in Deregulated Electricty Market Using Genetic Algorithms" 0-7803-8718- X/04/2$ 20.00 ┬® 2004 IEEE
[15] D.E.Goldberg, " Genetic Algorithms in search, optimization & Learning", Addison-wesley.