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International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 12    
Website: http://www.ijser.org
scirp IJSER >> Volume 2, Issue 12, December 2011
Clonal Selection Algorithm for Dynamic Economic Dispatch with Nonsmooth Cost Functions
Full Text(PDF, 3000)  PP.  
Author(s)
U. K. Rout, R. K. Swain, A. K. Barisal, R. C. Prusty
KEYWORDS
Clonal Selection Algorithm, Dynamic Economic load dispatch, Power generation operation and Control, Ramp rate limits
ABSTRACT
This paper presents clonal selection algorithm to solve the Dynamic Economic Dispatch Problem (DEDP) of generating units considering valve point loading effects. It determines the optimal operation of units with predicted load demand over a certain period of time with an objective to minimize total production cost while the system is operating with ramp rate limits. This paper presents DED based on clonal selection technique for determination of the global or near global optimum dispatch solution. In the present case, load balance constraints, operating limits, valve point loading, ramp constraints and network loss coefficient are incorporated. Five unit test systems with non-linear characteristics of the generators are considered to illustrate the effectiveness of the proposed method. The feasibility of the proposed method is demonstrated and compared to those reported in the literature. The results are promising and show the effectiveness of the proposed method.
References
[1] G.P. Granelli, P.Marannino, M.Montagna, and A. Silvestri,“Fast and efficient gradient projection algorithm for dynamic generation dispatching,”IEE Proc. Generat.Transm. Distrib, vol. 136, No.5, pp.295-302, September 1989.

[2] F.Li, R.Morgan, and D.Williams, “Hybrid genetic approaches to ramping rate constrained dynamic economic dispatch,” Elect. Power Syst. Res., Vol. 43, No. 2, pp. 97-103, November 1997.

[3] X.S.Han, H.B. Gooi, and D.S.Kirchen, “Dynamic economic dispatch: Feasible and optimal solutions,” IEEE Trans. Power syst. Vol. 16,No. 1,pp. 22-28,February 2001.

[4] P. Attaviriyanupap,H. Kita, E. Tanaka, and J. Hasegawa, “A fuzzy-optimization approach to dynamic economic dispatch considering uncertainties,” IEEE Trans. Power Syst.,Vol. 19,No. 3, pp. 1299-1307,August 2004.

[5] Z.-L. Gaing, “Particle swarm optimization to solving the economic dispatch considering the generation constraints,” IEEE Trans. Power Syst., Vol. 18,No. 3,pp. 1187-1195,August 2003.

[6] K.S. Hindi, and M.R. Ab Ghani., “Dynamic economic dispatch for large-scale power systems: A Lagrangian relaxation approach,” Elect. Power Energy Syst., Vol. 13, No. 1, pp. 51-56, February 1991.

[7] D.C. Walters, and G.B. Sheble,”Genetic algorithm solution of eco-nomic dispatch with valve point loadings,” IEEE Trans. Power Syst., Vol.8, No. 3,pp. 1325-1331,august 1993.

[8] H.T. Yang, P.C. Yang, and C.L. Huang, “ Evolutionary pro-gramming based economic dispatch for units with non smooth incremental fuel cost functions,” IEEE Trans. Power Syst., Vol. 11, No. 1, pp. 112-118, February 1996.

[9] N. Sinha, R. Chakrabarti, and P.K. Chattopadhyay, “Evolutionary programming techniques for economic load dispatch,” IEEE Trans. Evol. Computat., Vol. &, No. 1,pp. 83-94, February 2003.

[10] D.N. Simopoulos, D. Kavatza, and C.D. Vournas, “Unit commitment by an enhanced simulated annealing algorithm,” IEEE Trans. Power Syst., Vol. 21, No. 1,pp. 68-76, February 2006.

[11] M.M. Lin, F.S. Cheng, and M.T. Tsay, “An improved tabu search for economic dispatch with multiple minima,” IEEE Trans. Power Syst., Vol. 17, No.1, pp.108-112, February 2002.

[12] P. Attaviriyanupap, H. Kita, E. Tanaka, and J. Hasegawa, “A hybrid EP and SQP for dynamic economic dispatch with non smooth fuel cost function,” IEEE Trans. Power Syst., Vol. 17, No. 2, pp. 411-416, May 2002.

[13] T.A.A Victoire, and A.E. Jeyakumar,“Deterministically guided PSO for dynamic dispatch considering valve-point effect,” Elect. Power Syst. Res., Vol. 73, No. 3, pp.313-322, March 2005.

[14] T.A.A Victoire, and A.E. Jeyakumar, “Reserved constrained dynamic dispatch of units with valve point effects,” Elect. Trans. Power Syst., Vol. 20, No. 3, pp.1273-1282, August 2005.

[15] C.K. Panigrahi, P.K. Chattopadhyay,R Chakrabarti, and M. Basu, “Simulated annealing technique for dynamic economic dispatch,” Elect. Power Compon. Syst., Vol. 34, No. 5, pp. 577-586, May 2006.

[16] R. Storn, and K. Price, “Differential evolution – a simple and efficient heuristic for global optimization over continuous space,” J. Global Optim, Vol. 11, pp.341-359, December 1997.

[17] R. Balamurugan,S.Subramanian, “Differential Evolution-Based Dynamic Economic Dispatch of Generating Units with Valve–Point Effects,” Elect. Power Components and System,Vol 36,pp.828-843,2008.

[18] L. N.de Castro and J. Timis, “Artificial Immune System: A Novel Paradigm to Pattern Recognition,” In Artificial Neural Networks in Pattern Recognition, SOCO-2002, University of Paiselely, U.K.pp67-84, 2002.

[19] D. Dasgupta and N.A. Okline, “Immunity-Based Survey,” in the Proceedings of IEEE international Conference on System, Man and Cybernetics, vol, pp.369-374, oct.1997.

[20] L.N.de Castro, F.J. Zuben, “Learning and Optimization using through the clonal Selection Principle,’’IEEE Trans. on Evolu-tionary Computation, vol.6 pp.239-251, June 2002.

[21] L.N.de Castro and F.J. Von Zuben, “Artificial Immune System: Part 1-Basic Theory and Applications,’’ Technical report,TR-DCA 01/99 Dec.1999.

[22] F.M.Burnet, “The Clonal Selection Theory of Acquired Immunity, Cambridge University Press Cambridge, U.K, 1959.

[23] B.K. Panigrahi, S.R. Yadav, S. Agrawal, and “M.K. Tiwari, “A clonal algorithm to solve economic load dispatch”, Elect. Power syst. Res., Vol 77, pp 1381-1389 2007.

[24] T.K.A Rahman, S.I Suliman, and I.Musurin, “Artificial Immune-Based Optimization Technique for Solving Economic Dispatch in Power System”, Springer-Verlag, pp 338-345, 2006.

[25] T.K.A Rahman, Z.M. Yasin, W.N.W. Abdullah, “Artificial Immune Based for Solving Economic Dispatch in Power system”, IEEE Na-tional Power and Energy Conference Proceedings, Malaysia 2004 pp 31-35.

[26] R.Chakrabarti, P. K.Chattopadhyay,M.Basu,C.K.Panigrahi, “Particle Swarm Optimization Technique for Dynamic EconomicDispatch”,Vol.87,pp48-54,Sept.2006,IE(India)

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