Table of Contents Author Guidelines Submit a Manuscript
Mathematical Problems in Engineering
Volume 2016, Article ID 7410293, 7 pages
http://dx.doi.org/10.1155/2016/7410293
Research Article

A Hybrid Algorithm of Particle Swarm Optimization and Tabu Search for Distribution Network Reconfiguration

1School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
2Department of Computer Science and Electrical Engineering, Georgia Institute of Technology, Atlanta, GA 30314, USA

Received 15 January 2016; Accepted 19 July 2016

Academic Editor: Mauro Pontani

Copyright © 2016 Sidun Fang and Xiaochen Zhang. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. S. Civanlar, J. J. Grainger, H. Yin, and S. S. H. Lee, “Distribution feeder reconfiguration for loss reduction,” IEEE Transactions on Power Delivery, vol. 3, no. 3, pp. 1217–1223, 1988. View at Publisher · View at Google Scholar · View at Scopus
  2. M. E. Baran and F. F. Wu, “Network reconfiguration in distribution systems for loss reduction and load balancing,” IEEE Transactions on Power Delivery, vol. 4, no. 2, pp. 1401–1407, 1992. View at Google Scholar · View at Scopus
  3. L. M. O. Queiroz and C. Lyra, “Adaptive hybrid genetic algorithm for technical loss reduction in distribution networks under variable demands,” IEEE Transactions on Power Systems, vol. 24, no. 1, pp. 445–453, 2009. View at Publisher · View at Google Scholar · View at Scopus
  4. S. F. Mekhamer, A. Y. Abdelaziz, F. M. Mohammed, and M. A. L. Badr, “A new intelligent optimization technique for distribution systems reconfiguration,” in Proceedings of the 2008 12th International Middle East Power System Conference (MEPCON '08), pp. 397–401, IEEE, Aswan, Egypt, March 2008. View at Publisher · View at Google Scholar · View at Scopus
  5. B. Amanulla, S. Chakrabarti, and S. N. Singh, “Reconfiguration of power distribution systems considering reliability and power loss,” IEEE Transactions on Power Delivery, vol. 27, no. 2, pp. 918–926, 2012. View at Publisher · View at Google Scholar · View at Scopus
  6. D. W. Ross, M. Carson, and A. I. Cohen, “Development of advanced method for planning electric energy distribution systems,” U.S.DOE Report ET-8-c-03-1845, 1980. View at Google Scholar
  7. H. D. Chiang and R. Jean-Jumeau, “Optimal network reconfigurations in distribution systems. II. Solution algorithms and numerical results,” IEEE Transactions on Power Delivery, vol. 5, no. 3, pp. 1568–1574, 1990. View at Publisher · View at Google Scholar
  8. K. Nara, A. Shiose, M. Kitagawa, and T. Ishihara, “Implementation of genetic algorithm for distribution systems loss minimum re-configuration,” IEEE Transactions on Power Systems, vol. 7, no. 3, pp. 1044–1051, 1992. View at Publisher · View at Google Scholar · View at Scopus
  9. F. Rothlauf, D. E. Goldberg, and A. Heinzl, “Network random keys—a tree representation scheme for genetic and evolutionary algorithms,” Evolutionary Computation, vol. 10, no. 1, pp. 75–97, 2002. View at Publisher · View at Google Scholar · View at Scopus
  10. E. M. Carreno, N. Moreira, and R. Romero, “Distribution network reconfiguration using an efficient evolutionary algorithm,” in Proceedings of the IEEE Power Engineering Society General Meeting (PES '07), pp. 1–6, Tampa, Fla, USA, June 2007. View at Publisher · View at Google Scholar · View at Scopus
  11. P. C. Fourie and A. A. Groenwold, “The particle swarm optimization algorithm in size and shape optimization,” Structural and Multidisciplinary Optimization, vol. 23, no. 4, pp. 259–267, 2002. View at Publisher · View at Google Scholar · View at Scopus
  12. J. Kennedy and R. C. Eberhart, “Discrete binary version of the particle swarm algorithm,” in Proceedings of the 1997 IEEE International Conference on Systems, Man, and Cybernetics. Part 1 (of 5), pp. 4104–4108, October 1997. View at Scopus
  13. G. R. Raidl and B. A. Julstrom, “Edge sets: an effective evolutionary coding of spanning trees,” IEEE Transactions on Evolutionary Computation, vol. 7, no. 3, pp. 225–239, 2003. View at Publisher · View at Google Scholar · View at Scopus
  14. K. Parsopoulos and M. N. Vrahatis, “On the computation of all global minimizers through particle swarm optimization,” IEEE Transactions on Evolutionary Computation, vol. 8, no. 3, pp. 211–224, 2004. View at Publisher · View at Google Scholar · View at Scopus
  15. P. C. Fourie and A. A. Groenwold, “Particle swarms in topology optimization,” in Proceedings of the 4th World Congress of Structural and Multidisciplinary Optimization, pp. 1771–1776, Liaoning Electronic Press, 2001.
  16. M. Pontani, C. Martin, and B. A. Conway, “New numerical methods for determining periodic orbits in the circular restricted three-body problem,” in Proceedings of the 61st International Astronautical Congress (IAC '10), pp. 499–509, Prague, Czech Republic, October 2010. View at Scopus
  17. M. Pontani and B. A. Conway, “Particle swarm optimization applied to space trajectories,” Journal of Guidance, Control, and Dynamics, vol. 33, no. 5, pp. 1429–1441, 2010. View at Publisher · View at Google Scholar · View at Scopus
  18. C. R. Bessette and D. B. Spencer, “Optimal space trajectory design: a heuristic-based approach,” in Proceedings of the Spaceflight Mechanics 2006-AAS/AIAA Space Flight Mechnaics Meeting, vol. 124 of AAS paper 06-197, pp. 1611–1628, San Diego, Calif, USA, January 2006. View at Scopus
  19. K.-J. Zhu, J.-F. Li, and H.-X. Baoyin, “Satellite scheduling considering maximum observation coverage time and minimum orbital transfer fuel cost,” Acta Astronautica, vol. 66, no. 1-2, pp. 220–229, 2010. View at Publisher · View at Google Scholar · View at Scopus
  20. K. Zhu, F. Jiang, J. Li, and H. Baoyin, “Trajectory optimization of multi-asteroids exploration with low thrust,” Transactions of the Japan Society for Aeronautical and Space Sciences, vol. 52, no. 175, pp. 47–54, 2009. View at Publisher · View at Google Scholar · View at Scopus
  21. A. R. Cockshott and G. R. Sullivan, “Improving the fermentation medium for Echinocandin B production part II: particle swarm optimization,” Process Biochemistry, vol. 36, no. 7, pp. 661–669, 2001. View at Publisher · View at Google Scholar · View at Scopus
  22. C. O. Ourique, E. C. Biscaia Jr., and J. C. Pinto, “The use of particle swarm optimization for dynamical analysis in chemical processes,” Computers & Chemical Engineering, vol. 26, no. 12, pp. 1783–1793, 2002. View at Publisher · View at Google Scholar · View at Scopus
  23. J. Kennedy and R. Eberhart, “Particle swarm optimization,” in Proceedings of the IEEE International Conference on Neural Networks, pp. 1942–1948, Perth, Australia, December 1995. View at Scopus
  24. S. Fang, H. Cheng, Y. Song et al., “Stochastic optimal reactive power dispatch method based on point estimation considering load margin,” in Proceedings of the IEEE PES General Meeting—Conference & Exposition, pp. 1–5, National Harbor, Md, USA, July 2014. View at Publisher · View at Google Scholar