Economic Load Dispatch Using Ant Lion Optimization

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2019 by IJETT Journal
Volume-67 Issue-4
Year of Publication : 2019
Authors : Leena Daniel, Dr. Krishna Teerth Chaturvedi
DOI :  10.14445/22315381/IJETT-V67I4P218

Citation 

MLA Style: Leena Daniel, Dr. Krishna Teerth Chaturvedi "Economic Load Dispatch Using Ant Lion Optimization" International Journal of Engineering Trends and Technology 67.4 (2019): 81-84.

APA Style:Leena Daniel, Dr. Krishna Teerth Chaturvedi (2019). Economic Load Dispatch Using Ant Lion Optimization. International Journal of Engineering Trends and Technology, 67(4), 81-84.

Abstract
Ant Lion Optimization (ALO) is recently developed search algorithm. It is a nature inspired and population based algorithm .The inspiration of this algorithm is taken by the hunting process of ant lion in nature. Ant Lion uses mainly five steps for hunting prey, which includes the random walk of ants, build a trap, entrap ants , catch preys, and re-build traps. This paper presents Ant Lion Optimization (ALO) method for solution of Economic load dispatch problems. The prime intend of Economic load dispatch (ELD) is to minimize total cost of generation with the given operating constraints. This proposed method is tested with 3, 6 and 20 units for solving the ELD. Results show that given technique gives good convergence property and precise solution of ELD problems

Reference
[1] A.J.WOOD and B.F.Wollenberg, “Power Generation, Operation and Control”. New York: Wiley, 1996.
[2] K.T.Chaturvedi,N.P.Patidar,M.Kolhe,T.Khobargade,"Passive Congregation based PSO with self-organizing hierarchical approach for Nonconvex Economic Dispatch", IEEE - 2nd International Conference on Power and Renewable Energy, ICPRE 2017, Chengdu, China, pp. 571-576, Sept 2017.
[3] K.T. Chaturvedi, Ruchi Solanki,N. P. Patidar “A New modified particle swarm Optimization (PSO) Technique for Non - Convex Economic Dispatch” (IOSR – JEEE)2014,pg 81-88.
[4] Ahmed Y, Saber Ganesh and K. Venayagamoorthy, “Economic Load Dispatch using Bacterial Foraging Technique with Particle Swarm Optimization Biased Evolution” 2008 IEEE Swarm Intelligence Symposium St. Louis MO USA, September 21-23, 2008.
[5] R. Naresh, J.Dubey and J.D. Sharma, “Two Phase neural network based frame work modelling of constrained economic load dispatch”, IEE proceedings Gener .Ttrans. Dist, Vol. 151, no. 3, 2004, pp 373 -380.
[6] Shivani Kanoongo and Prerna Jain “Biogeography Based Optimization for Different Economic Load Dispatch Problem with Different Migration Models”, 2012 IEEE Conference on Electrical, Electronics and Computer Science, IEEE trans. pp: 362-365.
[7] Barun MandaI ,Provas Kr. Roy, and Kesab Bhattacharya “Hybridization of Particle Swarm Optimization with Biogeography Based Optimization to Solve Economic Load Dispatch Considering Spinning Reserve and Other Non-Linerarities” IEEE- International Conference On Advances In Engineering, Science And Management (lCAESM -2012) March 30, 31, 2012 pp: 403-408.
[8] Youssef, H. K., and El-Naggar, K. M., “Genetic based algorithm for security constrained power system economic dispatch”, Electric Power Systems Research, Vol. 53, pp. 4751, 2000.
[9] Wei Yan, Fang Liu, C. Y Chung, Member, IEEE, and K. P. Wong, Fellow, IEEE, “ A Hybrid Genetic Algorithm–Interior Point Method for Optimal Reactive Power Flow” IEEE transactions on power systems, vol. 21, no. 3, august 2006.
[10] Koustav Dasgupta and Sumit Banerjee, “An Analysis of Economic Load Dispatch with Prohibited Zone and Ramp-rate limit constraints using Different Algorithms”, Power and Energy Systems Towards sustainable Energy (PESTSE 2014) IEEE 2014.
[11] Kennedy J, Eberhart R (1995) „„Particle swarm optimization,?? in neural networks, 1995. In: Proceedings, IEEE international conference on, 1995, pp 1942–1948
[12] Mirjalili S. The Ant Lion Optimizer. Adv Eng Softw (2015).
[13] Kamboj, V.K., Bhadoria, A. & Bath, S.K. “Solution of non-convex economic load dispatch problem for small-scale power systems using ant lion optimizer”Springer,Neural Computer & Applications (2017),Issue 8.
[14] Faseela C.K, Dr. Vennila “MERIT ORDER DISPATCH USING ANT LION OPTIMIZATION ALGORITHM “in International Journal of Civil Engineering and Technology (IJCIET) Volume 8, Issue 10, October 2017, pp. 1718–1727
[15] Menakshi Mahendru Nischal, Shivani Mehta “ Optimal Load Dispatch Using Ant Lion Optimization”in Journal of Engineering Research and Applications www.ijera.com ISSN: 2248-9622, Vol. 5, Issue 8, (Part - 2) August 2015, pp.10-19.
[16] KT Chaturvedi, M Pandit, L Srivastava “Self-organizing hierarchical particle swarm optimization for nonconvex economic dispatch” in IEEE transactions on power systems 23 (3), 1079-1087. AUGUST 2008

Keywords
Ant Lion optimization (ALO), Economic Load Dispatch (ELD), Population-based algorithm