Skip to content
JACST Journal of Advanced Computer Science & Technology E-ISSN 2227-4332

Economic Load Dispatch Problem with Reduce Power Losses using Firefly Algorithm, “This paper has been withdrawn”

Abstract

This paper has been withdrawn.

Authors and Affiliations

  • Kuldeep Swarnkar RGPV, BHOPAL

About this article

Download PDF

References

[1] X. S. Yang, Nature-Inspired Meta-Heuristic Algorithms, Luniver Press, Beckington, UK, 2008.

[2] A. Bakirtzis, P. N. Biskas, C. E. Zoumas, and V. Petridis, Optimal Power Flow By Enhanced Genetic Algorithm, IEEE Transactions on power Systems, Vol.17,No.2,pp.229-236,May 2002.

[3] D. C. Walters and G. B. Sheble, Genetic Algorithm Solution of Economic Dispatch With Valve Point Loading, IEEE Transactions on Power Systems,Vol. 8, No.3,pp.1325–1332, Aug. 1993.

[4] S. Lukasik and S. Zak, “Firefly algorithm for con-tinuous constrained optimization tasks,” in Proceedings of the International Conference on Computer and Computational Intelligence (ICCCI ’09), N. T. Nguyen, R. Kowalczyk, and S.-M. Chen, Eds., vol. 5796 of LNAI, pp. 97–106, Springer, Wroclaw, Poland, October 2009.

[5] P. H. Chen and H.C. Chang, Large-Scale Economic Dispatch by Genetic Algorithm, IEEE Transactions on Power Systems, Vol. 10, No.4, pp. 1919–1926, Nov. 1995.

View more references (34)

[6] X. S. Yang, “Firefly algorithms formultimodal optimization,” in Proceedings of the Stochastic Algorithms: Foundations and Applications (SAGA ’09), vol. 5792 of Lecture Notes in Computing Sciences, pp. 178–178, Springer, Sapporo, Japan, October 2009.

[7] X. S. Yang, “Firefly algorithm, Levy flights and global optimization,” in Research and Development in Intelligent Systems XXVI, pp. 209–218, Springer, London, UK, 2010.

[8] K. S. Kumar, V. Tamilselvan, N. Murali, R. Rajaram, N. S. Sundaram, and T. Jayabarathi, “Economic load dispatch with emission constraints using various PSO algorithms,” WSEAS Transactions on Power Systems, vol. 3, no. 9, pp. 598–607, 2008.

[9] M. Basu, “A simulated annealing-based goal-attainment method for economic emission load dispatch of fixed head hydrothermal power systems,” International Journal of Electrical Power and Energy Systems, vol. 27, no. 2, pp. 147–153, 2005.

[10] G. B. Sheble and K. Brittig, Refined genetic algorithm-economic dispatch example, IEEE Trans. Power Systems, Vol.10, pp.117-124, Feb.1995.

[11] A. H. Mantawy, Y. L. Abdel-Magid and S. Z. Selim, Integrating Genetic Algorithm, Tabu search, and Simulated Annealing for The Unit Commitment Problem, IEEE Transactions on Power Systems, Vol. 14, pp. 829-836, August 1999.

[12] S. Baskar, P. Subbaraj and M. V. Roa, Hybrid Genetic Algorithm Solution to Emission and Economic Dispatch Problem, Journal of Institution of Engineers. (India), Vol.82, pp. 243 –249, March 2002.

[13] A. Bakirtzis, V. Petridis, and S. Kazarlis, Genetic Algorithm Solution to the Economic Dispatch Problem, Proceedings. Inst. Elect. Eng.– Generation, Transmission Distribution, Vol. 141, No. 4, pp. 377–382, July 1994.

[14] C. Palanichamy andN. S. Babu, “Analytical solution for combined economic and emissions dispatch,” Electric Power Systems Research, vol. 78, no. 7, pp. 1129–1137, 2008.

[15] P. C. Chen and C. M. Huang, “Biobjective power dispatch using goal-attainment method and adaptive polynomial networks,” IEEE Transactions on Energy Conversion, vol. 19, no. 4, pp. 741–747, 2004.

[16] T. Bouktir, R. Labdani, and L. Slimani, “Economic power dispatch of power system with pollution control using multi-objective particle swarm optimization,” Journal of Pure & Applied Sciences, vol. 4, no. 2, pp. 57–77, 2007.

[17] W. F. Abd El-Wahed, A. A. Mousa, and M. A. Elsisy, “Solving economic emissions load dispatch problem by using hybrid ACO-MSM approach,” The Online Journal on Power and Energy Engineering, vol. 1, no. 1, 2009.

[18] R. Labdani, L. Slimani and T. Bouktir, Particle Swarm Optimization Applied To the Economic Dispatch Problem, Journal of Electrical Systems, Vol.2, Issue 2, June 2006.

[19] C. A. Roa–Sepulveda and B. J. Pavez–Lazo, A solution to the optimal power flow using simulated annealing, IEEE Porto Power Tech Conference, 10-13 th September,Porto, Portugal.

[20] E. Zitzler, M. Laumanns, and S. Bleuler, “A Tuto-rial on Evolutionary Multi-objective Optimization,” Swiss Federal Institute of Technology _ETH_ Zurich, Computer Engineering and Networks Laboratory _TIK_, Zurich, Switzerland.

[21] J. Cooper, A MATLAB_ Companion for Multivariable Calculus, A Harcourt Science and Technology Company/Academic Press, 2001.

[22] P. Venkatesh, R. Gnanadas and N. P. Padhy, Comparison and Application of Evolutionary Programming techniques to combined Economic Emission Dispatch with line flow constraints,

[23] L. Xie, S. Wang, and Z. Wu, “Study on economic, rapid and environmental power dispatch based on fuzzy multi-objective optimization,” Modern Applied Science, vol. 3, no. 6, pp. 38–44, 2009.

[24] S. S. RAO, Engineering Optimization Theory and Practice, John Wiley & Sons, New York, NY, USA, 4thedition, 2009.

[25] J. S. Alsumait and J. K. Sykulski, “Solving economic dispatch problem using hybrid GA-PS-SQP method,” in Proceedings of the International Conference on Computer as a Tool (EUROCON ’09), pp. 351– 356, Saint Petersburg, Russia, May 2009.

[26] M. Sudhakaran, S.M. R. Slochanal, R. Sreeram, andN. Chandrasekhar, “Application of refined genetic algorithm to combined economic and emission dispatch,” Journal of the Institution of Engineers, vol. 85, no. 2, pp. 115–119, 2004.

[27] R. Gonc¸alves, C. Almeida, J. Kuk, and M. Delgado, “Solving economic load dispatch problem by natural computing intelligent systems,” in Proceedings of the 15th International Conference on Intelligent System Applications to Power Systems (ISAP ’09), Curitiba, Brazil, Nov ember 2009.

[28] Y. P. Verma and A. Kumar, “Economic load dispatch solutions using new particle swarm intelligence,” in Proceedings of the 5th National Power Systems Conference (NPSC ’08), pp. 220–225, IIT, Bombay, India, December 2008.

[29] C. C. Fung, S. Y. Chow, and K. P. Wong, Solving the Economic Dispatch Problem with an Integrated Parallel Genetic Algorithm, in Proceedings PowerCon International Conf., Vol. 3,pp. 1257–1262,2000.

[30] T. Yalcionoz, H. Altun, and M. Uzam, Economic dispatch solution using a genetic algorithmbased on arithmetic crossover, in Proc. IEEE Proto Power Tech. Conf., Proto, Portugal, Sept.2001.

[31] K .P. Wong and J. Yuryevich, Evolutionary Programming Based Algorithm forEnvironmentally Constrained Economic Dispatch, IEEE Trans.Power Syst., Vol.13, No.2, pp.301, May 1998.

[32] P. J. Angeline, Using Selection to Improve Particle Swarm Optimization, in Proc. IEEE International Conference on Evolutionary. Computations, pp. 84–89, May 1998.

[33] J. Kennedy and R. Eberhart, Particle swarm optimization, Proc. IEEE Int. Conf. Neural Networks, Vol. IV, pp. 1942–1948, 1995.

[34] Y. Shi and R. C. Eberhart, Empirical study of Particle Swarm Optimization “in Proceedings.Congr. Evol. Comput., NJ, 1999, pp. 1945–1950. IEEE Trans on power system, Vol.18, No.2, pp. 688-697, May, 2003.

[35] A. I. Wood and B. F. Woolenburg, Power Generation Operation and Control, New York:Wiley, 1996.

[36] H. Saadat, Power System Analysis, New York: McGraw-Hill, 1999.

[37] J. Kennedy and R. Eberhart, Swarm Intelligence, USA, Morgan Kaufmann Publishers, 2001.

[38] Zwe-Lee Gaing, (2005). Constrained optimal power flow by mixedinteger particle swarm optimization, In Proc. IEEE Power Engineering Society General Meeting, Vol. 1 (pp. 243-250).

[39] M. R. Alrashidi and M. E. El-Hawary, (2006). A Survey of Particle Swarm Optimization Applications in Power System Operations, Electric Power Components and Systems, 34:12, (pp. 1349-1357).


How to Cite

Swarnkar, K. (2012). Economic Load Dispatch Problem with Reduce Power Losses using Firefly Algorithm, “This paper has been withdrawn”. Journal of Advanced Computer Science & Technology, 1(2), 42-56. https://doi.org/10.14419/jacst.v1i2.21