CFP last date
22 April 2024
Reseach Article

Combined Economic Emission Dispatch using Evolutionary Programming Technique

Published on None 2010 by K. Senthil M.E.
Evolutionary Computation for Optimization Techniques
Foundation of Computer Science USA
ECOT - Number 2
None 2010
Authors: K. Senthil M.E.
89e01554-dc0b-4dfa-9304-637f51d58a1e

K. Senthil M.E. . Combined Economic Emission Dispatch using Evolutionary Programming Technique. Evolutionary Computation for Optimization Techniques. ECOT, 2 (None 2010), 62-66.

@article{
author = { K. Senthil M.E. },
title = { Combined Economic Emission Dispatch using Evolutionary Programming Technique },
journal = { Evolutionary Computation for Optimization Techniques },
issue_date = { None 2010 },
volume = { ECOT },
number = { 2 },
month = { None },
year = { 2010 },
issn = 0975-8887,
pages = { 62-66 },
numpages = 5,
url = { /specialissues/ecot/number2/1539-142/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 Evolutionary Computation for Optimization Techniques
%A K. Senthil M.E.
%T Combined Economic Emission Dispatch using Evolutionary Programming Technique
%J Evolutionary Computation for Optimization Techniques
%@ 0975-8887
%V ECOT
%N 2
%P 62-66
%D 2010
%I International Journal of Computer Applications
Abstract

In recent years increasing of thermal power plants air pollution and concentration of carbon dioxide emission leads to the global warming. This paper solves the economic dispatch problem includes the dispatch of systems to the minimize carbon dioxide emissions, as well as to achieve the minimum fuel cost. This paper proposed a lambda based approach for solving the Combined Economic and Emission Dispatch (CEED) problem using Evolutionary programming (EP) method considering the power limits. The CEED is to minimize both the operating fuel cost and emission level simultaneously while satisfying the load demand and operational constraints. The sample test system of three and six generator system solves the CEED problem for various load demands. The numerical results have shown the performance and applicability of the proposed method.

References
  1. Liladhur G. Sewothul, Robert T.F. Ah King and Harry C.S. Rughooputh, “Genetic algorithms for economic dispatch with valve point effect”, Proceedings of the IEEE, International conference on Networking, Sensing & Control, pp.1358-1362, March 2004.
  2. M. Basu, “An interactive fuzzy satisfying-based simulated annealing techniques for economic emission load dispatch with nonsmooth fuel cost and emission level functions”, Electric Power Components and Systems, vol.32, no.2, pp.163-173, 2004.
  3. C.E. Lin and G.L. Viviani, “Hierarchical economic dispatch for piecewise quadratic cost functions,” IEEE Trans. Power Apparatus Syst., vol. PAS-103, pp. 1170–1175, June 1984.
  4. Z.X. Liang and J.D. Glover, “Azoom feature for a dynamic programming solution to economic dispatch including transmission losses,” Trans. Power Syst., vol. 7, pp. 544–550, May 1992.
  5. E. H. Chowdhury, Saifur Rahrnan. 1990. A Review of Recent Advances in Economic Dispatch. IEEE Trans. on Power Syst. 5(Nov.): 1248-1259.
  6. Palanichamy C., Srikrishna K. 1991. Economic thermal power dispatch with emission constraint. J. Institution of Engineers (India). 72(April): 11-18.
  7. K. Y. Lee, A. S. Yome, and J. H. Park, “Adaptive Hopfield networks for economic load dispatch,” IEEE Trans. Power Syst., vol. 13, pp. 519–526, May 1998.
  8. A.H. Mantawy, Y.L Abdel-Magid, and S.Z. Selim,”A new genetic-based simple tabu search algorithm for unit commitment problem,” Electr.power syst. Res. 49,pp. 71-78,1999.
  9. Konash, O.El-Sharakawi, M, ”Economic Dispatch using Particle Swarm Optimization for combined cycle generators” Power Systems Conference and Exposition, 2009. PSCE IEEE/PES Volume, Issue,15-18 March 2009 Page(s):1-9.
  10. K.P.Wong and C.C.Fung, Simulated Annealing based Economic Load Dispatch, IEEE proceedings on Generation, Transmission and Distribution-C, Vol.140,No.6, Nov 1993, pp509-513.
  11. K. P. Wong and J. Yuryevich, “Evolutionary-programming-based algorithm for environmentally-constrained economic dispatch,” IEEE Trans. Power Syst., vol. 13, pp. 301–306, May 1998.
  12. I. J. Nagrat, P. Kothari. 1989. Modern Power System Analysis. Tata McGraw-Hill Publishing Company Ltd., New Delhi, India.
  13. Wood A.J and Woolenberg BF (1996), “ Power Generation and Control”, John willey and sons, New York.
  14. D.P. Kothari and J.S.Dhillon (2004), “ Power System Optimization”, Prentice – Hall of India, New Delhi.
Index Terms

Computer Science
Information Sciences

Keywords

Economic Dispatch Combined Economic Emission Dispatch Carbon dioxide Emission Evolutionary Programming Technique Global Warming