Minimizing Power Losses in Great Electrical Power Systems by Optimal Location of FACTS Devices Using a Genetic Algorithm

  • Soufiane Lemdani Department of Electrical Engineering, USTO-MB, Oran, Algeria.
  • Habib Benbouhenni Ecole Nationale Polytechnique d'Oran Maurice Audin, Oran, Algeria
Keywords: FACTS, Genetic Algorithm, Power Losses, Optimization.


Currently, with an increasing in the size of electrical power networks and the appearance of unwanted interconnections, these systems are becoming more difficult to manage and control. However, since the appearance of new technology FACTS, these systems are becoming very flexible and controllable, offering a better possibilities for a robust and efficient expansion of power networks by its capability to control various electrical parameters in the transmission lines. Indeed, the FACTS devices could increase system capacity and decrease total power losses. This paper describes a new approach to minimize electrical power losses of large electrical systems. The idea, with installing FACTS devices in their optimal locations, is to analyze and improve a transmitted electric power with low losses and minimum coast by using Genetic Algorithm as an optimization technique. Moreover, investigating best parameters of each device is taken into account in this work.


[1] C. Duan, W. Fang, L. Jiang, S. Niu, “FACTS devices allocation via sparse optimization,” IEEE Trans. Power Syst., Vol. 31, No. 2, pp. 1308–1319, 2016.
[2] N. G. Hingorani, L. Gyugyi, “Understanding FACTS,” IEEE Press, New York, 2000.
[3] J. S. Sarda, M. J. Chauhan, “optimal location of multi-type of FACTS devices using genetic algorithm, ” International Journal of Research in Computer Science, Vol. 2, No. 3, pp. 11-15, 2012.
[4] P. Bisen, A. Shrivastava, “Comparison between SVC and STATCOM FACTS Devices for Power System Stability Enhancement,” International Journal on Emerging Technologies, Vol. 4, No.2, pp. 101-109, 2013.
[5] E. Ghahremani and I. Kamwa, “Optimal placement of multiple-type FACTS devices to maximize power system load ability using a generic graphical user interface, ” IEEE Trans. Power Syst., Vol. 28, No. 2, pp.764–778, 2013.
[6] A. L. Ara, A. Kazemi, S. A. N. Niaki, “Multiobjective optimal location of FACTS shunt-series controllers for power system operation planning, ” IEEE Trans. Power Del., Vol. 27, No. 2, pp. 481–490, 2011.
[7] T. T. Ngoat, G. Le Ngoc, “Assessment of the Effectiveness of Two Coordinated Systems: SVC-PSS and STATCOM-PSS for Improving Transient Stability of Power System,” International Journal of Computer and Electrical Engineering, Vol. 5, No. 4, 2013.
[8] A. Shishebori, F. Taki, S. Abazari, G. A. Markadeh, “Comparison of ANFIS Based SSSC, STATCOM and UPFC Controllers for Transient Stability Improvement,” Majlesi Journal of Electrical Engineering, Vol. 4, No. 3, 2010
[9] M. Ahmadi, K. Poshti, M. Alinezhad, ‘‘Effects of STATCOM, TCSC, SSSC and UPFC on voltage stability,” International Review of Electrical Engineering, Vol.4, No.6, pp.1376-1382, 2009.
[10] V. Krishnasamy, “Genetic Algorithm for Solving Optimal Power Flow Problem with UPFC, ” International Journal of Software Engineering and Its Applications, Vol. 5, No. 1, 2011.
[11] P. Suman, P. Kumar, N. Vijaysimha, C. B. Saravanan, “STATIC SYNCHRONOUS SERIES COMPENSATOR FOR SERIES COMPENSATION OF EHV TRANSMISSION LINE,” International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol. 2, No. 7, 2013
[12] S. Gerbex, R. Cherkaoui, A. J. Germond, “Optimal location of multitype FACTS devices in a power system by means of genetic algorithms, ” IEEE Trans. Power Syst., Vol. 16, No. 3, pp. 537–544, 2001.
[13] P. Paterni, S. Vitet, M. Bena, A. Yokoyama, “Optimal location of phase shifters in the French network by genetic algorithm, ” IEEE Trans. Power Syst., Vol. 14, No. 1, pp. 37–42, Feb. 1999.
[14] K. Deb, A. Pratap, S. Agarwal, T. Meyarivan, “A fast and elitist multiobjective genetic algorithm”, NSGA-II, IEEE Trans. Evol. Comput, pp.182–97, 2002.
How to Cite
Lemdani, S., & Benbouhenni, H. (2020). Minimizing Power Losses in Great Electrical Power Systems by Optimal Location of FACTS Devices Using a Genetic Algorithm. Majlesi Journal of Energy Management, 9(1), 1-9. Retrieved from

Most read articles by the same author(s)