Artificial Immune System for Multiple-Fuel-Constrained Generation Scheduling

Chao Lung Chiang

doi:10.4028/www.scientific.net/AMM.376.272

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 376Artificial Immune System for...

Artificial Immune System for Multiple-Fuel-Constrained Generation Scheduling

Abstract:

This paper proposes an artificial immune system with a multiplier updating method (AIS-MU) for multiple-fuel-constrained generation scheduling of power systems. The artificial immune system (AIS) equips with a migration can efficiently search and actively explore solutions. The multiplier updating (MU) is introduced to avoid deforming the augmented Lagrange function and resulting in difficulty of solution searching. The proposed method integrates the AIS and the MU that has merits of automatically adjusting the randomly given penalty to a proper value and requiring only a small-size population for the economic dispatch problem (EDP) of the multiple-fuel-constrained generation scheduling. Numerical results indicate that the proposed algorithm is more suitable than previous approaches in the practical economic dispatch of power system.

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Periodical:

Applied Mechanics and Materials (Volume 376)

Pages:

272-275

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.376.272

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Online since:

August 2013

Authors:

Chao Lung Chiang

Keywords:

Artificial Immune System, Economic Dispatch, Multiple-Fuel-Constrained

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References

[1] C. E. Lin, G. L. Viviani, Hierarchical economic dispatch for piecewise quadratic cost functions, IEEE Trans. PAS. 103 (6) (1984) 1170-1175.

DOI: 10.1109/tpas.1984.318445

Google Scholar

[2] J. H. Park, Y. S. Kim, I. K. Eom, K. Y. Lee, Economic load dispatch for piecewise quadratic cost function using Hopfield neural network, IEEE Trans. PWRS. 8 (3) (1993) 1030-1038.

DOI: 10.1109/59.260897

Google Scholar

[3] K. Y. Lee, A. S. Yome, J. H. Park, Adaptive Hopfield neural networks for economic load dispatch, IEEE Trans. PWRS. 13 (2) (1998) 519-526.

DOI: 10.1109/59.667377

Google Scholar

[4] T. Jayabarathi, G. Sadasivam, Evolutionary programming- based economic dispatch for units with multiple fuel options, ETEP. 10 (3) (2000) 167-170.

DOI: 10.1002/etep.4450100307

Google Scholar

[5] D. N. Vo, W. Ongsakul, Economic Dispatch with Multiple Fuel Types by Enhanced Augmented Lagrange Hopfield Network, Applied Energy. 91 (2012) 281-289.

DOI: 10.1016/j.apenergy.2011.09.025

Google Scholar

[6] A. K. Barisal, Dynamic search space squeezing strategy based intelligent algorithm solutions to economic dispatch with multiple fuels, Electrical Power and Energy Systems. 45 (2013) 50-59.

DOI: 10.1016/j.ijepes.2012.08.049

Google Scholar

[7] S. Hemamalini, S. P. Simon, Dynamic economic dispatch using artificial immune system for units with valve-point effect, Electrical Power and Energy Systems. 33 (2011) 868-874.

DOI: 10.1016/j.ijepes.2010.12.017

Google Scholar

[8] M. Basu, Artificial immune system for combined heat and power economic dispatch, Electrical Power and Energy Systems. 43 (2012) 1-5.

DOI: 10.1016/j.ijepes.2012.05.016

Google Scholar

[9] Z. Michalewicz, M. Schoenauer, Evolutionary algorithms for constrained parameter optimization problems, Evolutionary Computation. 4 (1) (1996) 1-32.

DOI: 10.1162/evco.1996.4.1.1

Google Scholar

[10] C. L. Chiang, C. T. Su, F. S. Wang Augmented Lagrangian method for evolutionary optimization of mixed-integer nonlinear constrained problems, Intern. Math. J. 2 (2) (2002) 119-154.

Google Scholar

[11] C. L. Chiang, Improved Particle Swarm Optimization for Power Economic Dispatch with Prohibited Operating Zones, Advances in Information Sciences and Service Sciences. 4 (21) (2012) 483- 489.

DOI: 10.4156/aiss.vol4.issue21.61

Google Scholar