Optimal Allocation of FACTS Devices for ATC Enhancement Using Bees Algorithm
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.
[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 Matlab® power system
simulation package, User-s Manual",Version 3.2, 2004.
[21] http://www.eng.nsf.gov/iucrc/directory/iucrc_ee.htm
[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 Matlab® power system
simulation package, User-s Manual",Version 3.2, 2004.
[21] http://www.eng.nsf.gov/iucrc/directory/iucrc_ee.htm
@article{"International Journal of Electrical, Electronic and Communication Sciences:60486", author = "R.Mohamad Idris and A.Khairuddin and M.W.Mustafa", title = "Optimal Allocation of FACTS Devices for ATC Enhancement Using Bees Algorithm", 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", volume = "3", number = "6", pages = "1366-8", }
