P. Kundur, "Power System Stability and Control", McGraw-Hill, Inc. 1994.
 N. G. Hingorani and L. Gyugyi, "Understanding FACTS: Concepts and technology of flexible ac transmission systems", IEEE Press, NY, 1999.
 Yong Hua Song, Allan T. Johns, “Flexible AC Transmission Systems (FACTS)”, London, UK: IEE Press, 1999.
 Anghel, M. ; Milano, F. ; Papachristodoulou, A.," Algorithmic Construction of Lyapunov Functions for Power System Stability Analysis", Circuits and Systems I: Regular Papers, IEEE Transactions on, Volume 60, Issue 9,pp. 2533 - 2546, 2013.
T. Athay, R. Podmore, S. Virmani, "A Practical Method for the Direct Analysis of Transient Stability", IEEE Trans. PAS, pp. 573-584, March/April 1979.
 N. Kakimoto, M. Hayashi, "Transient Stability Analysis of Multimachine Power System by Lyapunov's Direct Method", Proc. 20th IEEE Conf. on Decision and Control, 1981.
 V. Azbe, R. Mihalic, "Application of The Direct Lyapunov Method for Optimum Control of UPFC", IEEE Power Tech, Russia, pp. 1-6, June 2005.
 Abazari S., Mahdavi J., Mokhtari M., Ehsan M.," Transient Stability Improvement by Using Advanced Static Var Compensators", The International Journal For Electric Power Componets and Systems,Taylor &Francis Group,USA,Vol31,April.2003,pp 321-334.
 Abazari S., Mahdavi J., Zolghadri M., Ehsan M. “A Rule –Based Advances Static Var Compensator Control Scheme for Transient Stability Improvement”The International Journal of Science and Tecnology& Technology, Scientia Iranica,March 2006.
 Azbe V., Mihalic R., The Control Strategy for an IPFC Based on the Energy Function, IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 23, NO. 4, pp 1662-1669, 2008.
 L. Whei-Min and S. Yuh-Sheng, "Genetic algorithms: concepts and applications", IEEE Transactions on Industrial electronics, Vol. 43, No.5, pp. 519-533, 1996.
 C. Zhang, J. Zhang and X. Gu, “The Application of Hybrid Genetic Particle Swarm Optimization Algorithm in the Distribution Network Reconfigurations Multi-Objective Optimization,” International Conference on
Natural Computation (ICNC 2007), pp. 455 – 459, 2007.
 X. Yao, Y. Liu, G. Lin, "Evolutionary Programming Made Faster", IEEE Transactions on Evolutionary Computation, Vol. 3, No. 2, pp. 82-102, Jul. 1999.
 A. Ghosh, "Evolutionary Algorithms for Multi-Criterion Optimization: A Survey", International Journal of Computing & Information Sceiences, Vol. 2, No. 1, pp. 38-57, Apr. 2004.
 Bijami E
, Askari J
, Farsangi M.M.
, Design of stabilizing signals for power system damping using generalized predictive control optimized by a new hybrid shuffled frog leaping algorithm, Generation, Transmission & Distribution, IET ,Volume 6, Issue10, pp 1036 – 1045, 2012.
 Ebrahimi J, Hosseinian, S.H, Gharehpetian G.B, Design of stabilising signals for power system damping using generalised predictive control optimized by a new hybrid shuffled frog leaping algorithm, Power Systems, IEEE Transactions on Volume 26, pp. 573-581, 2011.
 Huynh T. H., “A modified shuffled frog leaping algorithm for optimal tuning of multivariable PID controllers” Fifth IEEE International Conference on Industrial Technology (IEEE-ICIT'08), Chengdu, China, 21-24 April 2008.
 Zhang X.,. Hu X., Gui G., Wang Y., and Niu Y., “An improved shuffled frog leaping algorithm with cognitive behavior”, Proceeding of 7th World Congress on Intelligent Control and Automation, 2008, China.
Baghaee H. R., Jannati M., Improvement of Voltage Stability and Reduce Power System Losses by Optimal GA-based Allocation of Multi-type FACTS Devices, Eleventh International conference on Electrical and Electronic Equipment, OPTIM, pp. 209– 214, May 2008.