A hybrid self-adaptive particle swarm optimization and modified shuffled frog leaping algorithm for distribution feeder reconfiguration

Engineering Applications of Artificial Intelligence

Volumn 23, Issue 8, 2010, Pages 1340-1349

  Niknam, Taher ^a   Azad Farsani, Ehsan ^a  

^a SHIRAZ UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Binary particle swarm optimization (BPSO); Discrete particle swarm optimization (DPSO); Distribution feeder reconfiguration (DFR); Evolutionary algorithms (EA); Modified shuffled frog leaping algorithm (MSFLA); Self adaptive particle swarm optimization (SAPSO)

Indexed keywords

BINARY PARTICLE SWARM OPTIMIZATION; DISCRETE PARTICLE SWARM OPTIMIZATION; DISTRIBUTION FEEDER RECONFIGURATIONS; SELF-ADAPTIVE; SHUFFLED FROG-LEAPING ALGORITHMS;

ALGORITHMS; CURRENT LIMITING REACTORS; DISTRIBUTED PARAMETER NETWORKS; FEEDING; GLOBAL OPTIMIZATION;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 77958053934     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2010.02.005     Document Type: Article

References (29)

1. Ashisa Ahuja, Sanjoy Das, and Anil Pahwa An AIS-ACO hybrid approach for multi-objective distribution system reconfiguration IEEE Transactions on Power System 22 2007 3
2. Bi, P., Liu, J., Liu, C., 2002. A refined genetic algorithm for power distribution network reconfiguration. Automation of Electric Power Systems 26, 5761 (in Chinese)
3. H. Cheng, and C.C. Kou Network reconfiguration in distribution system using simulated annealing Electric Power System Research 29 1994 227 238
4. Carlisle A., Dozier, G., 2001. An off-the-shelf PSO, In: Proceedings of the IEEE International Workshop Particle Swarm Optimization, USA, pp. 16.
5. Ji-Pyng Chiou, Chung-Fu Chang, and Ching-Tzong Su Variable scaling hybrid differential evolution for solving network reconfiguration of distribution systems IEEE Transactions on Power System 20 2005 2
6. Debaprya Das A fuzzy multi-objective approach for network reconfiguration of distribution systems IEEE Transactions on Power Delivery 21 1 2006 202 209
7. E. Elbeltagi, T. Hegazy, and D. Grierson Comparison among five evolutionary-based optimization algorithms Advanced Engineering Informatics 19 1 2005 43 53
8. M. Eusuff, and K. Lansey Optimization of water distribution network design using the shuffled frog leaping algorithm Journal of Water Resources Planning and Management 129 2 2003 10 25
9. S.K. Goswami, and S.K. Basu A new algorithm for the reconfiguration of distribution feeders for loss minimization IEEE Transactions on Power Delivery 7 3 1992 1484 1491
10. Qie He, and Ling Wang An effective co-evolutionary particle swarm optimization for constrained engineering design problems Engineering Applications of Artificial Intelligence 20 1 2007 88 89
11. Jeon, Y.J., Kim, J. C., 2000. Network reconfiguration in radial distribution system using simulated annealing and tabu search, In: Proceedings of the IEEE Power Engineering Society Winter Meeting, pp. 2327.
12. H. Kim, Y. Ko, and K.H. Jung Artificial neural-network based feeder reconfiguration for loss reduction in distribution systems IEEE Transactions on Power Delivery 8 3 1993 1356 1366
13. M.A. Kashem, V. Ganapathy, and G.B. Jasmon Network reconfiguration for load balancing in distribution networks Proceedings of the Institution of Electrical EngineeringGeneration, Transmission, and Distribution 146 1999 563 567
14. W.M. Lin, F.S. Cheng, and M.T. Tsay Distribution feeder reconfiguration with refined genetic algorithm Proceedings of the Institution of Electrical EngineeringGeneration, Transmission, and Distribution 147 2000 349 354
15. E. Lopez, and h. Opaso Online reconfiguration considering variability demand: applications to real networks IEEE Transactions on Power System 19 1 2004 549 553
16. Liu, L., Chen, X., 2000. Reconfiguration of distribution networks based on fuzzy genetic algorithms. Proceedings of the CSEE 20, 6669 (in Chinese)
17. Zhenkun Li, Xingying Chen, Kun Yu, Yi Sun, and Haoming Liu A hybrid particle swarm optimization approach for distribution network reconfiguration problem IEEE Power and Energy Society General Meeting 2007 1 7
18. A.B. Morton, and I.M.Y. Mareels An efficient brute-force solution to the network reconfiguration problem IEEE Transactions on Power Delivery 15 3 2000 996 1000
19. T. Niknam, and A. New Hybrid algorithm for multiobjective distribution feeder reconfiguration Cybernetics and Systems: An International Journal 40 6 2009 1 20
20. Niknam T., 2009b. An efficient hybrid evolutionary based on PSO and ACO algorithms for distribution feeder reconfiguration, European Transaction on Electrical Power, forthcoming, doi:10.1002/etep.339
21. T. Niknam An efficient hybrid evolutionary algorithm based on PSO and HBMO algorithms for multi-objective distribution feeder reconfiguration Energy Conversion and Management 50 8 2009 2074 2082
22. D. Shirmohammadi, and H.W. Hong Reconfiguration of electric distribution networks for resistive line loss reduction IEEE Transactions on Power Systems 4 1 1998 1492 1498
23. V.P. Sakthivel, R. Bhuvaneswari, and S. Subramanian Multi-objective parameter estimation of induction motor using particle swarm optimization Engineering Applications of Artificial Intelligence 2009
24. Ching-Tzong Su, and Chu-sheng Lee Network reconfiguration of distribution systems using improved mixed-integer hybrid IEEE Transactions on Power 18 2003 3
25. T. Taylor, and D. Lubkeman Implementation of heuristic search strategies for distribution feeder reconfiguration IEEE Transactions on Power Delivery 5 3 1990 239 245
26. M. Taylan Das, and L. Canan Dulger Signature verification (SV) toolbox: Application of PSO-NN Engineering Applications of Artificial Intelligence 22 45 2009 688 694
27. G.K. Viswanadha Raju, and P.R. Bijwe An efficient algorithm for minimum loss reconfiguration of distribution system based on sensitivity and heuristics IEEE Transactions on Power System 23 2008 3
28. Jianming Yu, Fan Zhang, Feng Ni, and Yuanshe Ma Improved genetic algorithm with infeasible solution disposing of distribution network reconfiguration IEEE Intelligent system 2 2009 48 52
29. Xuncai Zhang, Xuemei Hu, Guangzhao Cui, Yanfeng Wang, and Ying Niu An improved shuffled frog leaping algorithm with cognitive behavior IEEE intelligent Control and Automation 2008 6197 6202