Optimal Allocation of FACTS Devices for ATC Enhancement Using Bees Algorithm
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Optimal Allocation of FACTS Devices for ATC Enhancement Using Bees Algorithm

Authors: R.Mohamad Idris, A.Khairuddin, M.W.Mustafa

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 algorithm simultaneously searches the FACTS location, FACTS parameters and FACTS types. Two types of FACTS are simulated in this study namely Thyristor Controlled Series Compensator (TCSC) and Static Var Compensator (SVC). A Repeated Power Flow with FACTS devices including ATC is used to evaluate the feasible ATC value within real and reactive power generation limits, line thermal limits, voltage limits and FACTS operation limits. An IEEE30 bus system is used to demonstrate the effectiveness of the algorithm as an optimization tool to enhance ATC. A Genetic Algorithm technique is used for validation purposes. The results clearly indicate that the introduction of FACTS devices in a right combination of location and parameters could enhance ATC and Bees Algorithm can be efficiently used for this kind of nonlinear integer optimization.

Keywords: ATC, Bees Algorithm, TCSC, SVC

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1077301

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References:


[1] G. D. Galiana et al, "Assessment and control of the impact of FACTS devices on power system performance ",IEEE Trans on Power System, Vol. 11, No 4, pp. 1931-1936, Nov. 1996.
[2] K. S. Verma, S. N. Singh, H. O. Gupta, "Facts Devices Location for Enhancement of TTC", Power Engineering Society Winter Meeting, IEEE, Volume 2 , pp 522 - 527, 28 Jan.-1 Feb. 2001
[3] S.N.Singh et al, "Optimal location of FACTS devices for congestion management", Electric Pow.Syst. Research.58(2001),pp71-79.Summary Plus| Full text + Links| PDF(118K)|View Record in Scopus| cited by in Scopus(27)
[4] El Metwally, M.M.; El Emary, A.A.; El Bendary, F.M.; Mosaad, M.I., "Optimal allocation of FACTS devices in power system using genetic algorithms", Power System Conference, 2008. MEPCON 2008. 12th International Middle-East, 12-15 March 2008 Page(s):1 - 4
[5] Baghaee, H.R.; Jannati, M.; Vahidi, B.; Hosseinian, S.H.; Jazebi, S., Optimal Multi-type FACTS Allocation Using Genetic Algorithm to Improve Power System Security-, Power System Conference, 2008. MEPCON 2008. 12th International Middle-East 12-15 March 2008 Page(s):162 - 166
[6] W.Feng, G.Shrestha, Allocation of TCSC devices to Optimize Total Transmission Capacity in A Competitive Power Market, In Proceedings of 2001 Winter Meeting of The IEEE Power Engineering Society, 28 Jan-1 Feb.2001. Columbus.OH.USA:IEEE
[7] S.Gerbex, R.Cherkaoui and A.J. Germond, "Optimal Location of Multiple Type of Facts Devices in a Power System by Means of Genetic Algorithms", IEEE Trans. Power Sys., 2001 Vol 16, pages537- 544.
[8] S.Gerbex, R.Cherkaoui and A.J. Germond, "Optimal Location of FACTS Devices to Enhance Power System Security", IEEE Bologna Power Tech Conference, June 23-26, 2003, Bologna Italy.
[9] S.R.Najafi, M.Abedi, S.H.Hosseinian, " A Novel Approach to Optimal Allocation of SVC using Genetic Algorithms and Continuation Power Flow", International Power and Energy Conference PECon 2006, Nov. 28-29, 2006, Putrajaya, Malaysia
[10] Ippolito, Lucio, La Cortiglia, Antonio; Petrocelli, Michele, "Optimal allocation of FACTS devices by using multi-objective optimal power flow and genetic algorithms", International Journal of Emerging Electric Power Systems, v 7, n 2, 2006, p 1-19
[11] D. Radu, Y. Besanger, " A multi-objective genetic algorithm approach to optimal allocation of multi-type FACTS devices for power systems security", 2006 IEEE Power Engineering Society General Meeting, PES, 2006 IEEE Power Engineering Society General Meeting, PES, 2006, p 1709202
[12] H.I.Shaheen, G.I.Rashed,S.J. Cheng, "Optimal location and parameters setting of unified power flow controller based on evolutionary optimization techniques", 2007 IEEE Power Engineering Society General Meeting, PES, 2007 IEEE Power Engineering Society General Meeting, PES, 2007, p 4275463
[13] L.J. Cai, I. Erlich, "Optimal Choice and Allocation of FACTS devices using Genetic Algorithms," Proc. on Twelfth Intelligent Systems Application to Power Systems Conference", pp. 1-6, 2003.
[14] W. Ongskul, P. Jirapong, " Optimal allocation of FACTS devices to enhance total transfer capability using evolutionary programming," IEEE International Symposium on Circuits and Systems, Vol..5, pp.4175-4178, 23-26 May. 2005
[15] M.Santiago-Luna, J.R.Cedeno-Maldonado, " Optimal placement of FACTS controller in power system via Evolution Strategies", IEEE PES Transmission and Distribution Conference and Exposition Latin America, Venezuela, 2006.
[16] M. Saravanan, etal, "Application of PSO technique for optimal location of FACTS devices considering system loadability and cost of installation," Power Engineering Conference, Vol. 2 pp.716 - 721, 29 Nov.2 Dec.2005.
[17] E.Nasr Azadani, S.H.Hosseinian, M.Janati, P.Hasanor, " Optimal placement of Multiple STATCOM", Power System Conference, 2008. MEPCON 2008. 12th International Middle-East, 12-15 March 2008 Page(s):523-528
[18] D T Pham, A Ghanbarzadeh, E Koc, S Otri, S Rahim and M Zaidi (2006) The Bees Algorithm, A Novel Tool for Complex Optimisation problems. Proc 2nd Int Virtual Conf on Intelligent Production Machines and Systems (IPROMS 2006) Oxford:Elsevier 454-459
[19] D T Pham, E Koc, J Y Lee and J Phrueksanat (2007) Using the Bees Algorithm to schedule jobs.
[20] R.D. Zimmermann and D.Gan, "Matpower a MatlabĀ® power system simulation package, User-s Manual",Version 3.2, 2004.
[21] http://www.eng.nsf.gov/iucrc/directory/iucrc_ee.htm