Optimal Allocation of Multi-Type FACTS Devices for Security and System Loadability Enhancement

(*) Corresponding author

Authors' affiliations

DOI's assignment:
the author of the article can submit here a request for assignment of a DOI number to this resource!
Cost of the service: euros 10,00 (for a DOI)


The Flexible AC transmission System (FACTS) devices, such as, thyristor controlled series compensators (TCSC) and Static Var Compensator (SVC) can be used to enhance power system performance. To achieve a better use of FACTS devices and because of their considerable costs, it is important to limit the number of theses controllers and locate them optimally in the power system. Firstly, we have applied optimization technique, namely, NSGA-II, to find out the optimal number of multi-devices of TCSC and SVC in order to improve the system loadabilty and to ensure the steady state security of the network. Secondly, we performed a contingency analysis procedure based on severity index (SIL) to identify and classify the most severe line contingencies. Then, we determined the optimal placement and parameter setting of FACTS devices in power system by using the above optimization approach to alleviate the line overloads. To ensure the robustness and effectiveness of the proposed method, N−1 contingency analysis and the stress of power system are considered. The optimization problem presented in this paper aims at reducing FACTS installation cost and decreasing total real power losses. Simulations are performed on IEEE 30-bus test system.
Copyright © 2013 Praise Worthy Prize - All rights reserved.


FACTS Location; Severity Index; Power Systems; System Loadability

Full Text:



N.G. Hingorani, Power electronics in electrical utilities: role of power electronics in future power systems, Proceedings of the IEEE, vol 76, no 4, 1988, pp 481–482.

E. Acha, R. Claodio, F. Esquivel, H. Ambbriz-Prez, C. Angeles-Camacho, FACTS Modelling and Simulation in Power Networks, Wiley, (2004).

S.N. Singh, A.K. David, Optimal location of FACTS devices for congestion management, Electric Power Syst. Res. Vol 58, 2001, pp 71–79.

G.I. Rashed, H.I. Shaheen, X.Z. Duan, S.J. Cheng, Evolutionary optimization techniques for optimal location and parameter setting of TCSC under single line contingency, Applied Mathematics and Computation, vol 205, 2008, pp 133–147

R. benabid, M. Boudour, M.A. Abido, Optimal location and setting of SVC and TCSC devices using nondomonated sorting particle swarm optimization, Electric Power Systems Research, vol 79, 2009, pp 1668-1677.

S. Gerbex, R. Cherkaoui, J. Germond, Optimal location of multi-type FACTS devices in power system by means of genetic algorithms, IEEE Transactions on Power Systems, vol 16, no 3, August 2001, pp 537–544.

M. Saravanan, S.M.R. Slochanal, P. Venkatesh, J. Prince Stephen Abraham, Application of particle swarm optimization technique for optimal location of FACTSdevices considering cost of installation and system loadability, Electric Power System Research, vol 77, 2007, 276–283.

S. Nagalakshmi, N. Kamaraj, secured loadability enhancement with TCSC in transmission system using computational intelligence techniques for pool and hybrid model, Applied Soft Computing, vol 11, 2011, pp 4748-4756.

Husam I. Shaheen , Ghamgeen I. Rashed, S.J. Cheng, Optimal location and parameter setting of UPFC for enhancing power system security based on Differential Evolution algorithm, Electrical Power and Energy Systems, vol 33, 2011, pp 94–105.

R.Narmatha Banu, D.Devaraj, Enhanced Genetic Algorithm Approach for Security Constrained Optimal Power Flow Including FACTS Devices, International Journal of Electrical Power and Energy Systems Engineering, vol 2, no 1, 2009, pp 33-38

Sung-Hwan Song, Jung-Uk Lim and Seung-Il Moon, Installation and Operation of FACTS Devices for Enhancing Steady-state Security, Electric Power Systems Research, vol 70, no 1, 2004, pp7-15.

G. Baskar M.R. Mohan, Contingency constrained economic load dispatch using improved particle swarm optimization for security enhancement, Electric Power Systems Research, vol 79, 2009, pp 615-621.

S.Udgir, S. Varshney, L. Srivastava, Optimal Placement and Sizing of SVC for Voltage Security Enhancement, International Journal of Computer Applications, vol 32, no 6, 2011, pp 44-51.

S. Sakthivel, D. May, R. Vetrivel, V. Senthamarai Kannan., Optimal Location of SVC for Voltage Stability Enhancement under Contingency Condition through PSO Algorithm, International Journal of Computer Applications, vol 20, no 1, 2011, pp 30-36.

Kang, N., Liao, Y., Contingency studies of a real power system and violation mitigation measures, (2010) International Review on Modelling and Simulations (IREMOS), 3 (5), pp. 882-887.

Subramani, C., Dash, S.S., Zobaa, A.F., Kumar, V., Line stability index for steady state stability enhancement using FACTS device, (2011) International Review on Modelling and Simulations (IREMOS), 4 (6), pp. 3119-3124.

L. Cai, I. Erlich, G. Stamts is,Y. Luo, Optimal choice and allocation of FACTS devices in deregulated electricity market using genetic algorithms, Power Systems Conference and Exposition, October 2004 , pp 201–207.

S. Brini, H. Ben Aribia, H. H. Abdallah, A. Ouali, Multi objectives optimization of the active/reactive/environmental dispatch of an electrical network, (2007) International Review of Electrical Engineering (IREE), 2 (3), pp. 301-309.

Vijayakumar, K., Jegatheesan, R., A multi objective fuzzy evolutionary programming and NSGA-II approaches for congestion management in deregulated power systems, (2012) International Review on Modelling and Simulations (IREMOS), 5 (1), pp. 8-14.

Rezaie Estabragh, M., Mohammadian, M., Rashidinejad, M., An application of elitist-based genetic algorithm for SVC placement considering voltage stability, (2010) International Review on Modelling and Simulations (IREMOS), 3 (5), pp. 938-947.

N. Srinvas, K. Deb, Multi-objective function optimization using non-dominated sorting genetic algorithms, Evolutionary Computation, vol 2, no 3, 1994, 221-248.

K. Deb, A. Pratab, S. Agarwal, T. Meyarivan, A fast and elitist multiobjective genetic algorithm: NSGA-II, IEEE Transactions Evolutionary Computation, vol 6, 2002, 182–197.

Alsac, B. Stott, Optimal Load Flow with Steady state Security, IEEE Trans. on Power Apparatus and Systems, vol 93, 1974, pp 745-751.

P. Bhasaputra and W. Ongsakul, Optimal power flow with multi-type of FACTS devices by hybrid TS/SA approach, in Proc. IEEE Int. Conf. Industrial Technology, vol 1, December. 2002, pp 285–29.


  • There are currently no refbacks.

Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2023 Praise Worthy Prize