References

Abedinia, O., N. Amjady, H.A. Shayanfar and A. Ghasemi, 2012. Optimal Congest Management based Vepso on Electricity Market. Int. J. Tech. Phys. Prob. Eng., 4: 56-62.
Direct Link  |  

Amjady, N. and M. Hakimi, 2012. Dynamic voltage stability constrained congestion management framework for deregulated electricity markets. Energy Conver. Manage., 58: 66-75.
Direct Link  |  

Dehghan, M. and Mirzaei, 2011. Improving congestion relief management as ancillary service in operation planning phase with demand sides presence. Can. J. Electr. Electron. Eng., 2: 145-152.

Dorigo, M. and L.M. Gambardella, 1997. Ant colony system: A cooperative learning approach to the traveling salesman problem. IEEE. Trans. Evol. Comput., 1: 53-66.
CrossRef  |  

Elango, K.P. and S.R.C. Sharmeela, 2011. Congestion management in restructured power systems by FACTS devices and load shedding using extended quadratic interior point method. Intl. J. Appl. Eng. Res., 2: 512-521.

Iranmanesh, H. and M.R. Nejad, 2012. Real genetic algorithm based fuzzy-AHP approach to congestion relief via UPFC. Intl. J. Syst. Appl. Eng. Dev., 6: 146-153.
Direct Link  |  

Joshi, S.K. and K.S. Pandya, 2011. Active and reactive power rescheduling for congestion management using particle swarm optimization. Proceedings of the 21st Australasian Universities Conference on Power Engineering (AUPEC) 2011, September 25-28, 2011, IEEE, Vadodara, India, ISBN:978-1-4577-1793-2, pp: 1-6.

Leeton, U. and T. Kulworawanichpong, 2011. Application of key cutting algorithm to optimal power flow problems. Proceedings of the 8th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) 2011, May 17-19, 2011, IEEE, Nakhon Ratchasima, Thailand, ISBN:978-1-4577-0425-3, pp: 897-900.

Mahdad, B. and K. Srairi, 2016. Adaptive differential search algorithm for optimal location of distributed generation in the presence of SVC for power loss reduction in distribution system. Eng. Sci. Technol. Intl. J., 19: 1266-1282.
Direct Link  |  

Maniezzo, V. and A. Colorni, 1996. The ant system: Optimization by a colony of cooperating agents. IEEE. Trans. Syst. Man Cybern. Part B., 26: 29-41.

Nesamalar, J.J.D., P. Venkatesh and S.C. Raja, 2016. Managing multi-line power congestion by using hybrid nelder-mead-fuzzy adaptive particle swarm optimization (HNM-FAPSO). Appl. Soft Comput., 43: 222-234.
Direct Link  |  

Rajalakshmi, L., M.V. Suganyadevi and S. Parameswari, 2011. Congestion management in deregulated power system by locating series facts devices. Intl. J. Comput. Appl., 13: 19-22.

Ramachandran, A. and Sakthivel, 2012. Optimal transformer tap settings and tcsc size for trans-mission congestion management through PSO algorithm in a deregulated power market. Intl. J. Sci. Eng. Res., 3: 1-7.
Direct Link  |  

Saini, A. and A.K. Saxena, 2010. Optimal power flow based congestion management methods for competitive electricity markets. Intl. J. Comput. Electr. Eng., 2: 1793-8163.
Direct Link  |  

Sakthivel, S., D. Mary and C. Ezhilan, 2012. Global voltage stability limit improvement by real and reactive power optimization through evolutionary programming algorithm. Intl. J. Adv. Sci. Tech. Res., 1: 88-102.

Sandip, C. and Abhinandan, 2011. Swarm intelligence based multi-objective algorithm for congestion management in power networks. Intl. J. Eng. Res. Technol., 4: 305-317.

Sen, S., S. Chanda, S. Sengupta, A. Chakrabarti and A. De, 2011. Alleviation of line congestion using multiobjective particle swarm optimization. Proceedings of the 2011 International Conference on Electrical Engineering and Informatics (ICEEI), July 17-19, 2011, IEEE, Kolkata, India, ISBN:978-1-4577-0753-7, pp: 1-5.

Siddiqui, A.S., R. Jain, M. Jamil and C.P. Gupta, 2011. Congestion management in high voltage transmission line using Thyrister Controlled Series Capacitors (TCSC). J. Electr. Electron. Eng. Res., 3: 151-161.
Direct Link  |  

Sridevi, J., J. Amarnath and G.G. Rao, 2012. Impact of facts devices on zonal congestion management in deregulated power system. Innovative Syst. Des. Eng., 3: 43-54.
Direct Link  |  

Sridevi, J., J. Amarnath and G.G. Rao, 2012. Role of facts devices on zonal congestion management ensuring voltage stability under contingency. Intl. J. Adv. Eng. Technol., 3: 635-641.
Direct Link  |  

Ushasurendra, S. and S.S. Parathasarthy, 2012. Congestion management in deregulated power sector using fuzzy based optimal location technique for series Flexible Alternative Current Transmission System (FACTS) device. J. Electr. Electron. Eng. Res., 4: 12-20.
CrossRef  |  Direct Link  |  

Venkaiah, C. and D.V. Kumar, 2011. Fuzzy adaptive bacterial foraging congestion management using sensitivity based optimal active power re-scheduling of generators. Appl. Soft Comput., 11: 4921-4921.
Direct Link  |  

Vergnol, A., J. Sprooten, B. Robyns, V. Rious and J. Deuse, 2009. Optimal network congestion management using wind farms. Proceedings of the 2009 IEEE PES Joint Symposium on Integration of Wide-Scale Renewable Resources into the Power Delivery System, July 29-31, 2009, IEEE, France, Europe, ISBN:978-1-4244-4860-9, pp: 1-9.

Verma, S. and V. Mukherjee, 2016. Firefly algorithm for congestion management in deregulated environment. Eng. Sci. Technol. Intl. J., 19: 1254-1265.
Direct Link  |  

Vijayakumar, K., 2012. Multiobjective optimization methods for congestion management in deregulated power systems. J. Electr. Comput. Eng., 2012: 1-8.
CrossRef  |  Direct Link  |  

Yousefi, A., T.T. Nguyena, H. Zareipour and O.P. Malik, 2012. Congestion management using demand response and FACTS devices. Intl. J. Electr. Power Energy Syst., 37: 78-85.
Direct Link  |