Multi-objective particle swarm optimization based on fuzzy-Pareto-dominance for possibilistic planning of electrical distribution systems incorporating distributed generation

Fuzzy Sets and Systems

Volumn 213, Issue , 2013, Pages 47-73

  Ganguly, S ^a   Sahoo, N C ^b   Das, D ^c  

^a NATIONAL INSTITUTE OF TECHNOLOGY   (India)

^b DEPARTMENT OF CHEMICAL ENGINEERING   (Malaysia)

^c INDIAN INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Electrical distribution system planning; Fuzzy number; Multi objective optimization; Pareto dominance; Particle swarm optimization; Possibilistic load model

Indexed keywords

ELECTRICAL DISTRIBUTION SYSTEM; FUZZY NUMBERS; LOAD MODELS; MULTI OBJECTIVE OPTIMIZATIONS (MOO); PARETO DOMINANCE;

DISTRIBUTED POWER GENERATION; FUZZY SETS; MULTIOBJECTIVE OPTIMIZATION; PARTICLE SWARM OPTIMIZATION (PSO); PLANNING;

LOCAL AREA NETWORKS;

EID: 84871607999     PISSN: 01650114     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fss.2012.07.005     Document Type: Article

References (36)

1. T. Gonen, and I.J. Ramirez-Rosado Review of distribution system planning models: a model for optimal multi-stage planning IEE Proc. C 133 1986 397 408
2. S.K. Khator, and L.C. Leung Power distribution planning: a review of models and issues IEEE Trans. Power Syst. 12 1997 1151 1159
3. J. Nahman, and J. Spiric Optimal planning of rural medium voltage distribution networks Electr. Power Energy Syst. 19 1997 549 556
4. S. Bhowmik, S.K. Goswami, and P.K. Bhattacherjee A new power distribution system planning through reliability evaluation technique Electr. Power Syst. Res. 54 2000 169 179
5. N.G. Boulaxis, and M.P. Papadopoulos Optimal feeder routing in distribution system planning using dynamic programming technique and GIS facilities IEEE Trans. Power Deliv. 17 2002 242 247
6. R.H. Fletcher, and K. Strunz Optimal distribution system horizon planning - part I: formulation IEEE Trans. Power Syst. 22 2007 791 799
7. R.H. Fletcher, and K. Strunz Optimal distribution system horizon planning - part II: application IEEE Trans. Power Syst. 22 2007 862 870
8. Y. Tang Power distribution systems planning with reliability modeling and optimization IEEE Trans. Power Syst. 11 1995 181 189
9. V. Miranda, J.V. Ranito, and L.M. Proenca Genetic algorithm in optimal multistage distribution network planning IEEE Trans. Power Syst. 9 1994 1927 1931
10. N. Kagan, and R.N. Adams A Benders' decomposition approach to the multi-objective distribution planning problem Int. J. Electr. Power Energy Syst. 15 1993 259 271
11. I.J. Ramirez-Rosado, and J.L. Bernal-Agustín Reliability and costs optimization for distribution networks expansion using an evolutionary algorithm IEEE Trans. Power Syst. 16 2001 111 118
12. E.G. Carrano, L.A.E. Soares, R.H.C. Takahashi, R.R. Saldanha, and O.M. Neto Electric distribution network multiobjective design using a problem-specific genetic algorithm IEEE Trans. Power Deliv. 21 2006 995 1005
13. F. Mendoza, J.B. Agustin, and J.A. Dominguez-Navarro NSGA and SPEA applied to multiobjective design of power distribution systems IEEE Trans. Power Syst. 21 2006 1938 1945
14. F. Rivas-Dávalos, M.R. Irving, An Approach Based on the Strength Pareto Evolutionary Algorithm 2 for Power Distribution System Planning, in: Lecture Notes in Computer Science, vol. 3410, 2005, pp. 707-720.
15. I.J. Ramirez-Rosado, and J.A. Dominguez-Navarra Possibilistic model based on fuzzy sets for the multiobjective optimal planning of electric power distribution networks IEEE Trans. Power Syst. 19 2004 1801 1810
16. I.J. Ramirez-Rosado, and J.A. Dominguez-Navarro New multi-objective Tabu search algorithm for fuzzy optimal planning of power distribution systems IEEE Trans. Power Syst. 21 2006 224 233
17. N. Kagan, and R.N. Adams Electrical power distribution systems planning using fuzzy mathematical programming Int. J. Electr. Power Energy Syst. 16 1994 191 196
18. E.G. Carrano, F.G. Guimaraes, R.H.C. Takahasi, O.M. Neto, and F. Campelo Electric distribution network expansion under load-evolution uncertainty using an immune system inspired algorithm IEEE Trans. Power Syst. 22 2007 851 861
19. N.C. Sahoo, S. Ganguly, and D. Das Simple heuristics-based selection of guides for multi-objective PSO with an application to electrical distribution system planning Eng. Appl. Artif. Intell. 24 2011 567 585
20. S. Ganguly, N.C. Sahoo, and D. Das A novel multi-objective PSO for electrical distribution system planning incorporating distributed generation J. Energy Syst. 1 2010 291 337
21. S. Ganguly, N.C. Sahoo, and D. Das Mono- and multi-objective planning of electrical distribution networks using particle swarm optimization Appl. Soft Comput. 11 2011 2391 2405
22. M. Köppen, R. Vicente-Garcia, A fuzzy scheme for the ranking of multivariate data and its application, in: Proceedings of the 2004 Annual Meeting of the North American Fuzzy Information Processing Society, vol. 1, IEEE Press, 2004, pp. 140-145.
23. L.A. Zadeh Fuzzy sets as a basis for a theory of possibility Fuzzy Sets Syst. 1 1978 3 28
24. D. Dubois, and H. Prade Possibility Theory: An Approach to Computerized Processing of Uncertainty 1988 Plenum Press New York
25. M.E. El-Hawary Electric Power Applications of Fuzzy Systems 1998 IEEE Press New York
26. X. Wang, and E. Kerre Reasonable properties for the ordering of fuzzy quantities (I) Fuzzy Sets Syst. 118 2001 375 385
27. X. Wang, and E. Kerre Reasonable properties for the ordering of fuzzy quantities (II) Fuzzy Sets Syst. 118 2001 387 405
28. J.J. Saade A unifying approach to defuzzification and comparison of the outputs of fuzzy controllers IEEE Trans. Fuzzy Syst. 4 1996 227 237
29. D. Dubois, H. Fargier, and P. Fortemps Fuzzy scheduling: modelling flexible constraints vs. coping with incomplete knowledge Eur. J. Oper. Res. 147 2003 231 252
30. M. Inuiguchi, H. Ichihashi, and Y. Kume Modality constrained programming problems: a unified approach to fuzzy mathematical programming problems in the setting of possibility theory Inf. Sci. 67 1993 93 126
31. M. Inuiguchi, H. Ichihashi, and Y. Kume Relationships between modality constrained programming problems and various fuzzy mathematical programming problems Fuzzy Sets Syst. 49 1992 243 259
32. K. Deb Multi-Objective Optimization Using Evolutionary Algorithms 2004 John Wiley London
33. Y. Valle, G.K. Venayagamoorthy, S. Mohagheghi, J. Hernandez, and R.G. Harley Particle swarm optimization: basic concepts, variants and applications in power systems IEEE Trans. Evol. Comput. 12 2008 171 195
34. M.R. Sierra, and C.A. Coello Coello Multi-objective particle swarm optimizers: a survey of the state-of-the-art Int. J. Comput. Intell. Res. 2 2006 287 308
35. D. Das, S. Ghosh, and D.K. Srinivas Fuzzy distribution load flow Electr. Mach. Power Syst. 27 1999 1215 1226
36. D. Singh, R.K. Misra, and D. Singh Effect of load models in distributed generation planning IEEE Trans. Power Syst. 22 2007 2204 2212