CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Environmental Economic Dispatch Optimization using a Modified Genetic Algorithm

by Simona Dinu, Ioan Odagescu, Maria Moise
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 20 - Number 2
Year of Publication: 2011
Authors: Simona Dinu, Ioan Odagescu, Maria Moise
10.5120/2408-3204

Simona Dinu, Ioan Odagescu, Maria Moise . Environmental Economic Dispatch Optimization using a Modified Genetic Algorithm. International Journal of Computer Applications. 20, 2 ( April 2011), 7-14. DOI=10.5120/2408-3204

@article{ 10.5120/2408-3204,
author = { Simona Dinu, Ioan Odagescu, Maria Moise },
title = { Environmental Economic Dispatch Optimization using a Modified Genetic Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { April 2011 },
volume = { 20 },
number = { 2 },
month = { April },
year = { 2011 },
issn = { 0975-8887 },
pages = { 7-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume20/number2/2408-3204/ },
doi = { 10.5120/2408-3204 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:06:43.428626+05:30
%A Simona Dinu
%A Ioan Odagescu
%A Maria Moise
%T Environmental Economic Dispatch Optimization using a Modified Genetic Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 20
%N 2
%P 7-14
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper aims to develop a new Genetic Algorithm based approach to solve the Combined Environmental Economic Power Dispatch Problem. The essential features of our proposed algorithm include a diploid based complex-encoding with meiosis specific attributes and new mutation operators that performs global search during the initial generations and local search in the later generations. Using the parallel searching mechanism and the new defined mutation operators, the local searching ability of the algorithm is improved, as well as the algorithm’s efficiency. Results of comparative tests on a sample power system are presented, showing the better computation efficiency and convergence property of the proposed methodology.

References
  1. Lamont, J.W. and Obessis, E.V. 1995.“Emission dispatch models and algorithms for the 1990’s”, IEEE Trans. Power Systems. Vol. 10, No. 2. 941- 947.
  2. Huneault, M. and Galiana, F.D. 1991. “A Survey of the Optimal Power Flow Literature, IEEE Transactions on Power Systems. Vol. 6, No. 2. 762-770.
  3. Talaq, J.H., El-Hawary, F., El-Hawary, M.E. 1994. “A summary of environmental/ economic dispatch algorithms”, IEEE Trans. Power Systems. Vol. 9, No. 3.1508-1516.
  4. Ramanathan, R. 1994. “Emission constrained economic dispatch”, IEEE Transactions on Power Systems. 9(4), 1994-2000.
  5. Chang, C.S., Wong, K.P. & Fan, B. 1995. “Security-Constrained multiobjective generation dispatch using bicriterion global optimization”, IEE Proceedings - Generation Transmission and Distribution. 142(4), 406–414.
  6. Dhillon, J.S., Parti, S.C. & Kothari, D.P. 1993. “Stochastic economic emission load dispatch“, Electric Power System Resource. 26, 186–197.
  7. Chaaban, F.B., Mezher, T. and Ouwayjan, M. 2004. “Options for emissions reduction from power plants: an economic evaluation”, International Journal of Electrical Power & Energy Systems. Vol. 26, No. 1. 57-63.
  8. Palanichamy, C. and Srikrishna, K. 1991. “Economic thermal power dispatch with emission constraint”, Journal of the Institution of Engineers.72, 11–18.
  9. Michalewicz, Z., Logan,T. and Swaminathan, S. 1994. “Evolutionary operators for continuous convex parameter space”, Proceedings of Third Annual Conference on Evolutionary Programming. 84-97.
  10. George, E.E. 1943. “Intrasystem transmission lased”, AIEE Trans. (Electrical Engineering). vol. 62. 153-158.
  11. Murata T, Ishibuchi H, Tanaka H. 1996. “Multi-objective genetic algorithm and its applications to flowshop scheduling”, Computing Eng. 30(4):957–68.
  12. Branke, J. 1999. “Memory enhanced evolutionary algorithms for changing optimization problems”, Proc. of the Congress on Evolutionary Computation, vol. 3, 1875-1882.
  13. Ng, K.P. and Wong, K.C. 1995. “A new diploid scheme and dominance change mechanism for non-stationary function optimization”, Proc. of the 6th International Conference on Genetic Algorithms.
  14. Goldberg, D.E. Smith, R. E. 1992. „Diploidy and dominance in artificial genetic search”, Complex Systems. 6, 21-285.
  15. Calabretta, R., Galbiati, R., Nolfi, S. and Parisi, D. 1996. “Two is Better than One: a Diploid Genotype for Neural Networks, Neural Processing Letters. 4, 1-7.
  16. Wang, Y., Gao, S. Zhang, H. and Tang, Z. 2010. “An Improved Genetic Algorithm Based Complex-valued Encoding”, IJCSNS International Journal of Computer Science and Network Security. VOL.10 (6). 168-174.
  17. Demirel, D., Demirören, A. 2003. “Economic and Minimum Emission Dispatch””, ELECO. 27-31.
  18. Kulkarni, P.S., Kothari, A.G. and Kothari, D.P. 2000. “Combined economic and emission dispatch using improved backpropagation neural network”, Elect. Mach. Power Syst. vol. 28, no.1. 31-44.
  19. Muralidharan, S., Srikrishna, K. and Subramanian, S. 2006. “Emission constrained economic dispatch – A new recursive approach”, Electric Power Components and Systems. 34, 343-353.
  20. Balamurugan, R. and Subramanian, S. 2008. “A simplified recursive approach to combined economic emission dispatch”, Electric Power Components and Systems. 36, 17- 27.
Index Terms

Computer Science
Information Sciences

Keywords

Multiobjective optimization. Environmental Economic Dispatch Genetic Algorithms. Diploidy

Powered by PhDFocusTM