[1] Hermann W. Dommel, and William F. Tinney,”optimal Power Flow Solutions”
[2] Sivasubramani.S, Shanti Swarup K, Multiagent Based Particle Swarm Optimization Approach to Economic Dispatch With Security Constraints December27-29’2009, International Conference on Power systems, ,Kharagpur” .
[3] Bo Yang,Yuping ChenmZunlian Zhao and Qiye Han, “Solving Optimal Power Flow Problems with improved Particle Swarm Optimization”,Proceedings of 6th world congress on Intelligent Control and Automation,June 21-23,2006,Dalian,China.
[4] Taranto, L. M. V. G. Pinto, M. V. F. Pereira, “Repre-sentation of FACTS Devices in Power System Economic Dispatch,” IEEE Trans. On Power $ystems, Vol. 7, No. 2, May 1992, pp.572-576.
[5] Z.Lu, M.S.Li, W.J.Wang, Q.H.Wu, “ Optimal Location for FACTS devices by Bacterial Swarming algorithm for reactive Power Planning’, Proceedings of IEEE congress on Evolutionary Computation (CEC2007)
[6] J. Nanda, and B.R. Narayanan, “Application of genetic algorithm to economic load dispatch with line flow constraints,” Int Journal of Electric Power Energy Systems, pp. 723-729, 2002.
[7] Hingorani NG. Power electronics in electrical utilities: Role of powerelectronics in future power systems. Proc IEEE 1988;76 (4):481–2.April.
[8] Hingorani NG, Gyugyi L. Understanding FACTS: concepts and technology of flexible ac transmission systems. New York: IEEE Press; 1999.
[9] Taranto GN, Pinto LMVG, Pereira MVF. Representation of FACTS devices in power system economic dispatch. IEEE Trans Power Syst 1992;7 (2):572–6.
[10] Gotham DJ, Heydt GT. Power flow control and power flow studies for systems with FACTS devices. IEEE Trans Power Syst 1998;13 (1):60–5.
[11] Ge SY, Chung TS. Optimal active power flow incorporating powe rflow control needs in flexible AC transmission systems. IEEE Trans Power Syst 1999;14 (2):738–44.
[12] J. Kennedy, and R. Eberhart, “Particle swarm optimization,” Proc IEEE Int Conf Neural Networks, Aust, pp. 1942-1948, 1995.
[13] Ambriz-Perez H, Acha E, Fuerte-Esquivel CR. Advanced SVC model for Newton–Raphson Load Flow and Newton optimal power flow studies. IEEE Trans Power Syst 2000;15 (1):129–36.
[14] M. Wooldridge, An introduction to multiagent system. New York: Wiley, 2002.
[15] W. Zhong, J. Liu, M. Xue, and L. Jiao, “ A multiagent genetic algorithm for global numerical optimization,” IEEE Trans on Sys, Man and Cybernatics, pp. 1128-1141, 2004.
[16] A.Wood. B. Woolenberg, power generation,operation and control, New York: Wiley,1996.