Optimal placement of FACTS Devices to reduce Loss and improve Congestion in Transmission System using ABC Algorithm

  • Hojat Golafshani Guilan University
  • Hossein Afrakhte Guilan university
  • Reza Naghizadeh Guilan university

Abstract

In this paper, Flexible AC Transmission Systems (FACTS) devices are used as a powerful tool for controlling power flow in power system to reduce active power losses and manage transmission lines congestion which are two main factors to restrict transmitted power in the network. Optimal location and size of these devices are specified by using artificial bee colony (ABC) algorithm which is one of the most effective method for solving optimization problems by taking into consideration minimizing active power losses and transmission lines congestion as objective functions in order to relieve the line loading of the overloaded transmission lines and increase the loadability in the transmission system. The proposed method is also able to improve voltage profile in the network. The effectiveness of proposed method is tested with IEEE 30-bus system and the test results are evaluated.

References

[1] A. Kumar, S. C. Srivastava, and S. N. Singh, “Congestion management in competitive power market: A bibliographical survey,” Elect. Power Syst. Res., vol. 76, pp. 153–164, 2005.
[2] A. Kumar, S.C. Srivastava, S.N. Singh, “A zonal congestion management approach using real and reactive power rescheduling”, IEEE Trans. Power Systems. , vol. 18, pp. 554–562, Feb 2004.
[3] Sudipta Dutta , S. P. Singh, “Optimal Rescheduling of Generators for Congestion Management Based on Particle Swarm Optimization”, IEEE Trans. Power Systems. Vol. 23, No. 4, pp. 1560-1568, Nov 2008.
[4] Bergen, Vittal. “Power system analysis”, 2nd ed. Prentice Hall; pp. 1–2. 1999.
[5] Wood Allen J, Wollenberg Bruce F, “Power generation operation and control”, 2nd ed. John Wiley & Sons; pp. 99–103, 514–515, 1996.
[6] S. Gerbex, R. Cherkaoui, and Aj. Germond, “Optimal Location of multi-Type FACTS Devices in a Power System by Means of Genetic Algorithm”, IEEE Trans. on Power System. pp. 537-544, 2001.
[7] M. Saravanan, S. M. R. Slochanal, P. Venkatesh, J. P. S. Abreham, “Application of particle swarm optimization technique for optimal location FACTS devices considering cost of installation system loadability”, Elsevier, Electrical Power System Research, EPSR-77, pp.276-283. 2007.
[8] S. Joshi and K. Pandya, “Optimal placement of TCSC for Total Transfer Capability enhancement using particle swarm optimization”, in Advances in Power System Control, Operation and Management (APSCOM), 8th International Conference on, 2009, pp.1-6.
[9] G. I. Rashed, Y. Sun, and H. Shaheen, “Optimal TCSC placement in a power system by means of Differential Evolution Algorithm considering loss minimization”, in Industrial Electronics and Applications (ICIEA), 2011 6th IEEE Conference on, 2011, pp. 2209-2215.
[10] I. Pisica, C. Bulac, L. Toma, and M. Eremia, “Optimal SVC placement in electric power systems using a genetic algorithms based method”, in PowerTech, 2009 IEEE Bucharest, 2009, pp. 1-6.
[11] A. Esmaeili Dahej, S. Esmaeili, A. Goroohi, “Optimal Allocation of SVC and TCSC for Improving Voltage Stability and Reducing Power System Losses using Hybrid Binary Genetic Algorithm and Particle Swarm Optimization”, Canadian Journal on Electrical and Electronics Engineering, vol. 3, No. 3, pp.100-107, 2012.
[12] Galiana F.D. and etall, “Assessment and Control of the Impact of FACTS Devices on Power System Performance” IEEE, Trans., PWRS. Vol. 11,o, 4, November 1996.
[13] Pilotto L.A.S. and etall, “Determination of Needed FACTS Controller that Increase Asset Utilization of Power Systems” IEEE, Trans. PWRD ,Vol. 12 ,No.1 ,January 1997.
[14] Sreenivasachar K. and etall, “Dynamic Stability Improvement of Multi Machine Power System with UPFC” Electric Power System Research 55, 2000.
[15] S. Sutha, and N. Kamaraj “Optimal Location of Multi Type Facts Devices for Multiple Contingencies Using Particle Swarm Optimization” International Journal of Electrical and Electronics Engineering 1:1, 2008.
[16] T.T.Lie and W. Deng,”Optimal flexible AC transmission systems (FACTS) devices allocations”, Electrical power and energy system, Vol 19, pp. 125-134, 1997.
[17] J.Baskaran, V.Palanisamy,”Optimal Location of FACTS Device in a Power System Network Considering Power Loss using Genetic Algorithm” EE-Pub on line journal, march 7,2005.www.eepub.com
[18] Ambriz-Pe´rez, H., Acha, E., and Fuerte-Esquivel, “Advanced SVC Models for Newton–Raphson Load Flow and Newton Optimal Power Flow Studies”, IEEE Trans. Power Systems 15(1), pp. 129–136, 2000.
[19] Karaboga, D., Basturk, B.: “A Powerful And Efficient Algorithm for Numerical Function Optimization: Artificial Bee Colony (ABC) Algorithm”, Journal of Global Optimization 39(3), pp.459–471, 2007.
[20] Alsac O, Stott B. “Optimal load flow with steady-state security”, IEEE Trans. Power Apparatus System; 93(3):745–51, 1994.
Published
2015-09-06
How to Cite
Golafshani, H., Afrakhte, H., & Naghizadeh, R. (2015). Optimal placement of FACTS Devices to reduce Loss and improve Congestion in Transmission System using ABC Algorithm. Majlesi Journal of Energy Management, 4(3). Retrieved from http://journals.iaumajlesi.ac.ir/em/index/index.php/em/article/view/205
Section
Articles