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Optimal Solution of Combined Economic Emission Load Dispatch using Genetic Algorithm

by Naveen Kumar, K.P.singh Parmar, Surender Dahiya
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 48 - Number 15
Year of Publication: 2012
Authors: Naveen Kumar, K.P.singh Parmar, Surender Dahiya
10.5120/7424-0410

Naveen Kumar, K.P.singh Parmar, Surender Dahiya . Optimal Solution of Combined Economic Emission Load Dispatch using Genetic Algorithm. International Journal of Computer Applications. 48, 15 ( June 2012), 15-20. DOI=10.5120/7424-0410

@article{ 10.5120/7424-0410,
author = { Naveen Kumar, K.P.singh Parmar, Surender Dahiya },
title = { Optimal Solution of Combined Economic Emission Load Dispatch using Genetic Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { June 2012 },
volume = { 48 },
number = { 15 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = { 15-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume48/number15/7424-0410/ },
doi = { 10.5120/7424-0410 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:45:03.713857+05:30
%A Naveen Kumar
%A K.P.singh Parmar
%A Surender Dahiya
%T Optimal Solution of Combined Economic Emission Load Dispatch using Genetic Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 48
%N 15
%P 15-20
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, a genetic algorithm (GA) approach is presented for optimal solution of combined economic emission load dispatch (CEELD) problem. Fuel cost and emission are considered to formulate the multi-objective optimization problem. An optimal trade-off between fuel cost and emission is obtained using genetic algorithm. Two test systems are considered to show the effectiveness of the GA approach. An extensive analysis is done by presenting a short term thermal generation scheduling for the Test system-1.

References
  1. D. P. Kothari, and J. S. Dhillion , Power system optimization'', 2nd edition, PHI,2011,INDIA
  2. Yee Ming Chen and Wen-Shiang Wang, " A particle swarm approach to solve the environmental/economic dispatch problem. '' International journal of Industrial Engineering computation 1(2010)157-172
  3. D. P. Kothari and K. P. SinghParmar, A Noval Approach for Eco-friendly and Economic Power Dispatch using MATLAB,IEEE Conference. PEDES,2006, New Delhi, INDIA.
  4. EI-Keib AA, Ma H, Hart JL. Economic dispatch in view of the clean air act of 1990. IEEE Trans Power Syst 1994;9(2):972-8.
  5. Talaq JH, EI-Hawary ME. A summary of environmental/economic dispatch algorithms. IEEE Trans power syst 1994;9(3):1508-16
  6. Helsin JS, Hobbs BF. A multiobjective production costing model for analyzing emission dispatching and fuel switching. IEEE Trans Power syst 1989;4(3):836-842
  7. Dhillion JS, Parti SC, Kothari DP. Stochastic economicemission load dispatch. Electr Power Syst Res 1993;26:179-86.
  8. Shin-Der Chan and Jiann-Fuh Chen. (2003). A direct Newton-Raphson economic dispatch,Electrical power and Energy Systems,25,411-417.
  9. Muralidharan. S, Srikrishna. K and Subramanian,(2006). Emission constrained economic dispatch-a new recursive approach, Electric power components and systems, 34, 343-353.
  10. Tankut. Y and Onur. K. (2007). A multiobjective optimization method to environmental economic dispatch, Electrical Power and Energy Systems, 29,42-50
  11. Balamurugan. R and Subramanian. S. (2008). A simplified recursive approach to combined economic emission dispatch, Electrical power components and systems, 36(1),17-27
  12. Osman. M. S, Abo-sinna. M. A and Mousa. A. A. (2009). An ?-dominance-based multiobjective genetic algorithm for economic emission load dispatch optimization problem, Electric power systems Research, 79(11), pp. 1561-67
  13. BrodeskySF,Hahn RW. Assessing the influence of power pools on emission constrained economic dispatch and fualswitching. IEEE Trans Power Syst 1986;(1):57-62
  14. Goldberg DE. Genetic algorithm for search , optimization, and machine learning. Reading, MA: Addision-Wesley; 1989
  15. Fonseca CM,Fleming PJ. An overview of evolutionary algorithms in multiobjective optimization. EvolComput 1995;3(1):1-16.
  16. A. Lakshmi Devi and O. Vamsi Krishna, 'Combined economic and emission dispatch using evolutionary algorithms-a case study'. ARPN Journal of Engineering and Applied Sciences. VOL. 3, NO. 6, DECEMBER, 2008
  17. Yee Ming Chen and Wen-Shiang Wang, 'A Particle swarm approach to solve environmental/economic dispatch problem' . International Journal of Industrial Engineering Computation1 (2010)157-172.
  18. S. Hemamalini and S. P. Simon, Emission constrained economic dispatch with valve point loading effect using particle swarm optimization , IEEE Region 10 conference TENCON 2008, pp. 1-6, 2008.
  19. M. Sailaja Kumari and M. Sydulu, A Fast Computational Genetic Algorithm for Economic Load Dispatch' International Journal of Recent Trends in Engineering Vol. 1, No. 1, May 2009.
  20. Naveen Kumar, K. . P. Singh Parmar and Surender Dahiya, A Genetic algorithm approach for the solution of economic load dispatch' International Journal of Computer Science and Engineering(IJCSE), Vol. 4, NO. 6, 2012, 1063-1068.
Index Terms

Computer Science
Information Sciences

Keywords

Economic Load Dispatch Combined Economic Emission Load Dispatch Genetic Algorithm