Excellence in Research and Innovation for Humanity

International Science Index


Select areas to restrict search in scientific publication database:
10006114
Transmission Line Congestion Management Using Hybrid Fish-Bee Algorithm with Unified Power Flow Controller
Abstract:
There is a widespread changeover in the electrical power industry universally from old-style monopolistic outline towards a horizontally distributed competitive structure to come across the demand of rising consumption. When the transmission lines of derestricted system are incapable to oblige the entire service needs, the lines are overloaded or congested. The governor between customer and power producer is nominated as Independent System Operator (ISO) to lessen the congestion without obstructing transmission line restrictions. Among the existing approaches for congestion management, the frequently used approaches are reorganizing the generation and load curbing. There is a boundary for reorganizing the generators, and further loads may not be supplemented with the prevailing resources unless more private power producers are added in the system by considerably raising the cost. Hence, congestion is relaxed by appropriate Flexible AC Transmission Systems (FACTS) devices which boost the existing transfer capacity of transmission lines. The FACTs device, namely, Unified Power Flow Controller (UPFC) is preferred, and the correct placement of UPFC is more vital and should be positioned in the highly congested line. Hence, the weak line is identified by using power flow performance index with the new objective function with proposed hybrid Fish – Bee algorithm. Further, the location of UPFC at appropriate line reduces the branch loading and minimizes the voltage deviation. The power transfer capacity of lines is determined with and without UPFC in the identified congested line of IEEE 30 bus structure and the simulated results are compared with prevailing algorithms. It is observed that the transfer capacity of existing line is increased with the presented algorithm and thus alleviating the congestion.
Digital Article Identifier (DAI):

References:

[1] T. Duong, J. Yao, and K. Tong, "Optimal location of Thyristor-controlled-series-capacitor using min cut algorithm," TELKOMNIKA Indonesian Journal of Electrical Engineering, vol. 12, no. 5, May 2014.
[2] G. Ramesh and T. K. Sunil Kumar, "Optimal allocation of TCSC and DG unit for congestion management in deregulated power systems," International Journal on Electrical Engineering and Informatics, vol. 8, no. 2, pp. 303–314, Jun. 2016.
[3] H. Iranmanesh and M. Rashidi-Nejad, "Using UPFC and IPFC devices located by a hybrid Meta-Heuristic approach to congestion relief," Energy and Power Engineering, vol. 05, no. 07, pp. 474–480, 2013.
[4] Jumaat, SA, Musirin, I, Othman, MM & Mokhlis, H, ‘Transmission loss minimization using SVC based on particle swarm optimization’, IEEE Symposium on Industrial Electronics and Applications(ISIEA), pp. 419-424, 2011
[5] Kumar Suresh, Thakur Ishan, Chakravorty Jajdeep & Mehta Amit, ‘Congestion Management Using Thyristor Controlled Series Capacitor’, International Research Journal of Sustainable Science & Engineering, vol. 2, no. 6, pp. 1-10, 2014.
[6] Likhitha, B, Srinivasa Rao, J & Amarnath, J, ‘Sensitivity Approach for the Effective location of TCSC in a Deregulated Electricity Market’, IOSR Journal of Engineering, vol.2, no.6, pp.9-15, 2012.
[7] Moslemi, R, Shayanfar, HA & Lingfeng Wng, ‘Multi-objective particle swarm optimization for transient secure congestion management’, Environment and Electrical Engineering (EEEIC), 11th International Conference, pp. 590-594, 2012.
[8] Naraina Avudayappan, Deepa S N, 2016, “Congestion management in deregulated power system using hybrid Cat-Firefly algorithm with TCSC and SVC FACTS devices”, The international journal for computation and mathematics in electrical and electronic engineering, Vol.35, Issue 5.
[9] Ravindra Kumar, K. B., Chandra Mohan, S, “LMP Congestion Management Using Enhanced STF-LODF in Deregulated Power System”, “Circuits and Systems”, Vol. 7, pp. 2489-2498, 2016.
[10] Singh, D & Verma, KS, ‘GA-based congestion management in deregulated power system using FACTS devices’, Utility Exhibition on Power and Energy Systems: Issues & Prospects for Asia (ICUE), IEEE International Conference, pp. 1-6, 2011.
[11] Singh, K, Yadav, VK & Dhingra, A, ‘Congestion Management Using Optimal Placement of TCSC in Deregulated Power System’, International Journal on Electrical Engineering and Informatics, vol.4, no.4, pp.620-632, 2012.
[12] Suganya, P, Nandini, S & Muthulakshmi, MK, ‘Congestion Management Using UPFC in Deregulated Power System’, International Journal of Innovative Research in Science, Engineering and Technology, vol. 3, no. 1, pp. 700-705, 2014.
[13] Verma, KS, Singh, SN & Gupta, HO, ‘Location of unified power flow controller for congestion management’, Journal of Electric Power Systems Research, vol.58, no.2, pp.89-96, 2001.
[14] Dhanasekar, P & Elango, K, ‘Congestion Management in Power System by Optimal Location and Sizing of UPFC’, IOSR Journal of Electrical and Electronics Engineering, vol. 6, no. 1, pp.49-53, 2013.
Vol:11 No:11 2017Vol:11 No:10 2017Vol:11 No:09 2017Vol:11 No:08 2017Vol:11 No:07 2017Vol:11 No:06 2017Vol:11 No:05 2017Vol:11 No:04 2017Vol:11 No:03 2017Vol:11 No:02 2017Vol:11 No:01 2017
Vol:10 No:12 2016Vol:10 No:11 2016Vol:10 No:10 2016Vol:10 No:09 2016Vol:10 No:08 2016Vol:10 No:07 2016Vol:10 No:06 2016Vol:10 No:05 2016Vol:10 No:04 2016Vol:10 No:03 2016Vol:10 No:02 2016Vol:10 No:01 2016
Vol:9 No:12 2015Vol:9 No:11 2015Vol:9 No:10 2015Vol:9 No:09 2015Vol:9 No:08 2015Vol:9 No:07 2015Vol:9 No:06 2015Vol:9 No:05 2015Vol:9 No:04 2015Vol:9 No:03 2015Vol:9 No:02 2015Vol:9 No:01 2015
Vol:8 No:12 2014Vol:8 No:11 2014Vol:8 No:10 2014Vol:8 No:09 2014Vol:8 No:08 2014Vol:8 No:07 2014Vol:8 No:06 2014Vol:8 No:05 2014Vol:8 No:04 2014Vol:8 No:03 2014Vol:8 No:02 2014Vol:8 No:01 2014
Vol:7 No:12 2013Vol:7 No:11 2013Vol:7 No:10 2013Vol:7 No:09 2013Vol:7 No:08 2013Vol:7 No:07 2013Vol:7 No:06 2013Vol:7 No:05 2013Vol:7 No:04 2013Vol:7 No:03 2013Vol:7 No:02 2013Vol:7 No:01 2013
Vol:6 No:12 2012Vol:6 No:11 2012Vol:6 No:10 2012Vol:6 No:09 2012Vol:6 No:08 2012Vol:6 No:07 2012Vol:6 No:06 2012Vol:6 No:05 2012Vol:6 No:04 2012Vol:6 No:03 2012Vol:6 No:02 2012Vol:6 No:01 2012
Vol:5 No:12 2011Vol:5 No:11 2011Vol:5 No:10 2011Vol:5 No:09 2011Vol:5 No:08 2011Vol:5 No:07 2011Vol:5 No:06 2011Vol:5 No:05 2011Vol:5 No:04 2011Vol:5 No:03 2011Vol:5 No:02 2011Vol:5 No:01 2011
Vol:4 No:12 2010Vol:4 No:11 2010Vol:4 No:10 2010Vol:4 No:09 2010Vol:4 No:08 2010Vol:4 No:07 2010Vol:4 No:06 2010Vol:4 No:05 2010Vol:4 No:04 2010Vol:4 No:03 2010Vol:4 No:02 2010Vol:4 No:01 2010
Vol:3 No:12 2009Vol:3 No:11 2009Vol:3 No:10 2009Vol:3 No:09 2009Vol:3 No:08 2009Vol:3 No:07 2009Vol:3 No:06 2009Vol:3 No:05 2009Vol:3 No:04 2009Vol:3 No:03 2009Vol:3 No:02 2009Vol:3 No:01 2009
Vol:2 No:12 2008Vol:2 No:11 2008Vol:2 No:10 2008Vol:2 No:09 2008Vol:2 No:08 2008Vol:2 No:07 2008Vol:2 No:06 2008Vol:2 No:05 2008Vol:2 No:04 2008Vol:2 No:03 2008Vol:2 No:02 2008Vol:2 No:01 2008
Vol:1 No:12 2007Vol:1 No:11 2007Vol:1 No:10 2007Vol:1 No:09 2007Vol:1 No:08 2007Vol:1 No:07 2007Vol:1 No:06 2007Vol:1 No:05 2007Vol:1 No:04 2007Vol:1 No:03 2007Vol:1 No:02 2007Vol:1 No:01 2007