Constrained power plants unit loading optimization using particle swarm optimization algorithm

WSEAS Transactions on Information Science and Applications

Volumn 4, Issue 2, 2007, Pages 296-302

  Li, Lily D ^a   Zhou, Jiping ^b   Yu, Yinghou ^c   Li, Xiaodong ^c  

^a CENTRAL QUEENSLAND UNIVERSITY   (Australia)

^b Stanwell Power Station   (Australia)

^c RMIT UNIVERSITY   (Australia)

Author keywords

Application; Evolutionary computing; Loading dispatching; Optimization; PSO algorithm

Indexed keywords

COMPUTER SIMULATION; CONSTRAINED OPTIMIZATION; ELECTRIC POWER PLANT LOADS; OPERATING COSTS;

PARTICLE SWARM OPTIMIZATION; UNIT LOADING;

EVOLUTIONARY ALGORITHMS;

EID: 33847724285     PISSN: 17900832     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (18)

1. Diesendorf, M., Australia's Polluting Power: Coal-fired electricity and its impact on global warming, in WWF Australia. 2003.
2. National Statement on Coal Power Stations Proposals, http:// www.cana.net.au/nomorepollutingpower/NoCoalNationalStatement.pdf.
3. Parsopoulos, K.E. and N.Vrahatis, M. Paricle Swarm Optimization Method for Constrained Optimization Problem. in Intelligent Technologies - Theory and Application: New Trends in Intelligent Technologies, volume 76 of Frontiers in Artificial Intelligence and Applications, pages 214-220. IOS Press. 2002.
4. Wu, B., Evolutionary strategies for function optimization, fuzzy modeling and control. 2001, phd thesis, Central Queensland University: Rockhampton.
5. Yao, X., Evolutionay Computation, A Gentle Introduction, in Evolutionary Optimization, R. Sarker, M. Mohammadian, and X. Yao, Editors. 2002, Kluwer Academic Publishers. p. 27-53.
6. Kennedy, J. and Eberhart, R., PSO optimization. Proceedins of IEEE International Conference on Neural Networks. Vol. 4. 1995, Perth, Australia: IEEE Service Centerr. 1942-1948.
7. Fan, H., A modification to particle swarm optimization algorithm. Engineering Computations, 2002. vol. 19: p. 970-989.
8. adaptiveview.com, An Introduction to Particle Swarm Optimization, http:// www.adaptiveview.com/articles/ipsopl.html.
9. Kennedy, J., Eberhart, R., and Shi, Y., Swarm Intelligence. 2001: San Francisco: Morgan Kaufmann Publisher.
10. Hu, X. and Eberhart, R. Solving Constrained Nonlinear Optimization Problems with Particle Swarm Optimization. in Proceedings of the Sixth World Multiconference on Systemics, Cybernetics and Informatics. 2002.
11. Shi, Y. and Eberhart, R. Parameter selection in particle swarm optimization. in The 7th Ann. Conf. on Evolutionary Programming. 1998. San Diego, CA.
12. Koziel, S. and Michalewicz, Z., Evolutionary Algorithms, Homomorphous Mappings, and Constrained Parameter Optimization. Evolutionary Computation, 1999. vol. 7, no.1: p. 19-44.
13. Runarsson, T. and Yao, X., Constrained Evolutionary Optimization, in Evolutionary Optimization, R. Sarker, M. Mohammadian, and X. Yao, Editors. 2002, Kluwer Academic Publishers. p. 87-113.
14. Michalewicz, Z. and Janikow, C.C., GENOCOP: A Generic Algorithm for Numerical Optimization Problems with Linear Constraints. Communication of the ACM, 1996.
15. Yu, X. and Wu, B., An Adaptive Penalty Function Method for Constrained Optimization with Evolutionary Programming. Journal of Advanced Computational Intelligence and Intelligent Informatics, 2000. vol 4(2): p. 164-170.
16. Zavala, A.E.M., Aguirre, A.H., and Diharce, E.R.V. Constrained Optimization via Particle Evolutionary Swarm Optimization Algorithm (PESO). in Proceedings of the 2005 conference on Genetic and evolutionary computation. 2005.
17. Eberhart, R.C. and Shi, Y. Comparison between Genetic Algorithms and Particle Swarm Optimization. in Proceedings of the 7th International Conference on Evolutionary Programming VII. 1998: Springer-Verlag, Berlin.
18. Zbigniew, M. and Schmidt, M., Evolutionary Algorithms and Constrained Optimization, in Evolutionary Optimization, R. Sarker, M. Mohammadian, and X. Yao, Editors. 2002, Kluwer Academic Publishers. p. 57-86.