Immune system memetic algorithm for power distribution network design with load evolution uncertainty

Electric Power Systems Research

Volumn 81, Issue 2, 2011, Pages 527-537

  Souza, Bruno B ^a   Carrano, Eduardo G ^b   Neto, Oriane M ^a   Takahashi, Ricardo H C ^a  

^a FEDERAL UNIVERSITY OF MINAS GERAIS   (Brazil)

^b Centro Federal de Educaão Tecnológica de Minas Gerais   (Brazil)

Author keywords

Energy distribution systems; Evolutionary algorithms; Load uncertainty; Multiobjective analysis; Optimal network design; Sensitivity analysis

Indexed keywords

CANDIDATE SOLUTION; DESIGN PROCEDURE; ELECTRIC DISTRIBUTION NETWORKS; ENERGY DISTRIBUTIONS; FURTHER DEVELOPMENT; IMMUNE SYSTEMS; LOAD CONDITION; LOAD UNCERTAINTY; LOCAL SEARCH OPERATORS; MEMETIC ALGORITHMS; MERIT FUNCTION; MULTI-OBJECTIVE ANALYSIS; OPTIMAL NETWORK DESIGN; POWER DISTRIBUTION NETWORK DESIGN; SOLUTION SET;

DESIGN; DISTRIBUTED PARAMETER NETWORKS; ELECTRIC LOAD DISTRIBUTION; ELECTRIC POWER DISTRIBUTION; ION BEAMS; MATHEMATICAL OPERATORS; MULTIOBJECTIVE OPTIMIZATION; SENSITIVITY ANALYSIS; UNCERTAINTY ANALYSIS;

EVOLUTIONARY ALGORITHMS;

EID: 78650610571     PISSN: 03787796     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.epsr.2010.10.011     Document Type: Article

References (27)

1. E.G. Carrano, F.G. Guimaraes, R.H.C. Takahashi, O.M. Neto, and F. Campelo Electric distribution network expansion under load-evolution uncertainty using an immune system inspired algorithm IEEE Transactions on Power Systems 22 2007 851 861
2. V. Miranda, J.V. Ranito, and L.M. Proena Genetic algorithms in optimal multistage distribution network planning IEEE Transactions on Power Systems 9 1994 1927 1933
3. P.M.S. Carvalho, L.A.F.M. Ferreira, F.G. Lobo, and L.M.F. Barruncho Optimal distribution network expansion planning under uncertainty by evolutionary decision convergence International Jounal of Electric Power and Energy Systems 20 2 1998 125 129
4. E.G. Carrano, R.H.C. Takahashi, E.P. Cardoso, R.R. Saldanha, and O.M. Neto Optimal substation location and energy distribution network design using a hybrid GA-BFGS algorithm IEE Proceedings on Generation Transmission and Distribution 152 2005 919 926
5. H.L. Willis, and J.E.D. Northcode-Green Spatial electric load forecasting: a tutorial review Proceedings of IEEE 71 1983 232 253
6. L.N. de Castro, and F.J. Von Zuben Learning and optimization using the clonal selection principle IEEE Transactions on Evolutionary Computation 6 2002 239 251
7. L.N. de Castro, and J. Timmis Artificial immune systems as a novel soft computing paradigm Soft Computing 7 2003 526 544
8. N. Krasnogor, and J. Smith A tutorial for competent memetic algorithms: model, taxonomy, and design issues IEEE Transactions on Evolutionary Computation 9 2005 474 488
9. H.L Willis, H. Tram, M.V. Engel, and L. Finley Selecting and applying distribution optimization methods IEEE Computer Applications in Power Magazine 9 1996 12 17
10. I. Ramírez-Rosado, and J. Bernal-Agustín Genetic algorithms applied to the design of large power distribution systems IEEE Transactions on Power Systems 13 1998 696 702
11. E.G. Carrano, L.A.E. Soares, R.H.C. Takahashi, R.R. Saldanha, and O.M. Neto Electric distribution multiobjective network design using a problem-specific genetic algorithm IEEE Transactions on Power Delivery 21 2006 995 1005
12. E.G. Carrano, R.T.N. Cardoso, R.H.C. Takahashi, C.M. Fonseca, and O.M. Neto Power distribution network expansion scheduling using the dynamic programming genetic algorithm (DP-GA), IET Generation Transmission & Distribution 2 2008 444 455
13. A. Cayley A theorem on trees Quarterly Journal of Mathematics 23 1889 376 378
14. L.N. de Castro, and J. Timis Artificial Immune Systems: A New Computational Intelligence Paradigm 2002 Springer-Verlag Berlin, Germany
15. E.G. Carrano, R.H.C. Takahashi, C.M. Fonseca, and O.M. Neto Non-linear network topology optimization - an embedding vector space approach IEEE Transactions on Evolutionary Computation 14 2010 206 226
16. D. Dasgupta, and F. Gonzalez An immunity-based technique to characterize intrusions in computer networks IEEE Transactions on Evolutionary Computation 6 2002 281 291 (special Issue on Artificial Immune Systems)
17. D. Dasgupta Advances in artificial immune systems IEEE Computational Intelligence Magazine 1 2006 40 49
18. C. Juan Jr. How the immune system works to protect the host from infection: a personal view Proceedings of the National Academy of Science 98 2001 7461 7468
19. N.K. Jerne Towards a network theory of the immune system Annals of Immunology (Inst. Pasteur) 125C 1974 373 389
20. J.P. Moscato, On evolution, search, optimization, GAs and martial arts: toward memetic algorithms, Ph.D. dissertation, California Institute of Technology, Pasadena, USA, 1989.
21. W. Hartand, N. Krasnogor, and J. Smith Recent Advances in Memetic Algorithms 2004 Springer-Verlag Berlin, Germany
22. J. Smith, W. Hart, and N. Krasnogor Special issue on memetic algorithms Evolutionary Computation 12 2004 273 353
23. P. Merz, and B. Freisleben A comparison of memetic algorithms, tabu search, and ant colonies for the quadratic assignment problem Proceedings of the IEEE International Congress on Evolutionary Computation 1999 2063 2070
24. E.K. Burke, J.P. Newall, and R.F. Weare A memetic algorithm for university exam timetabling Proceedings of the International Conference on the Practice and Theory of Automated Timetabling Edinburgh, UK 1995 496 503
25. R. Cheng, and M. Gen Parallel machine scheduling problems using memetic algorithms Computers & Industrial Engineering 33 1997 761 764
26. A. Quintero, and S. Pierre A memetic algorithm for assigning cells to switches in cellular mobile networks IEEE Communications Letters 6 2002 484 486 (Pubitemid 35458360)
27. J.L. Bernal-Agustín, Aplicación de algoritmos genéticos al diseño óptimo de sistemas de distribución de energía eléctrica," Ph.D. dissertation, Universidad de Zaragoza, Zaragoza, Spain, 1998.