A hybrid genetic algorithm for service restoration problems in power distribution systems

2006 IEEE Congress on Evolutionary Computation, CEC 2006

Volumn , Issue , 2006, Pages 3250-3257

  Watanabe, Isamu ^b   Kurihara, Ikuo ^a,b   Nakachi, Yoshiki ^c  

^a IEEE   (Japan)

^b CENTRAL RESEARCH INSTITUTE OF ELECTRIC POWER INDUSTRY   (Japan)

^c CHUBU ELECTRIC POWER CO INC   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION TIME; POWER DISTRIBUTION SYSTEMS; SERVICE RESTORATION PROBLEMS;

COMPUTATIONAL EFFICIENCY; GENETIC ALGORITHMS; LARGE SCALE SYSTEMS; REAL TIME SYSTEMS; RESTORATION; TIME MEASUREMENT;

DISTRIBUTED POWER GENERATION;

EID: 34547281863     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. Hsiao-Dong Chiang and René Jean-Jumeau, "Optimal network reconfigurations in distribution systems: Part 1: A new formulation and a solution methodology," IEEE Transactions on Power Delivery, vol. 5, no. 4, pp. 1902-1909, November 1990.
2. Hsiao-Dong Chiang and René Jean-Jumeau, "Optimal network reconfigurations in distribution systems: Part 2: Solution algorithms and numerical results," IEEE Transactions on Power Delivery, vol. 5, no. 3, pp. 1568-1574, July 1990.
3. Young-Jae Jeon, Jae-Chul Kim, Jin-O. Kim, Joong-Rin Shin, and Kwang Y. Lee, "An efficient simulated annealing algorithm for network reconfiguration in large-scale distribution systems," IEEE Transactions on Power Delivery, vol. 17, no. 4, pp. 1070-1078, October 2002.
4. Sakae Toune, Hiroyuki Fudo, Takamu Genji, Yoshikazu Fukuyama, and Yosuke Nakanishi, "A reactive tabu search for service restoration in electric power distribution systems," in Proceedings of the 1998 IEEE International Conference on Evolutionary Computation, Anchorage, AK, May 1998, pp. 763-768.
5. Takamu Genji, Toshiya Oomori, Kenji Miyazato, Naoki Hayashi, and Yoshikazu Fukuyama, "Service restoration in distribution systems aiming higher utilization rate of feeders," in The Fifth Metaheuristcis International Conference (MIC2003), Kyoto, Japan, August 2003.
6. Isamu Watanabe, "An aco algorithm for service restoration in power distribution systems," in Proceedings of the 2005 IEEE Congress on Evolutionary Computation, Edinburgh, UK, September 2005, pp. 2864-2871, IEEE Press.
7. Yoshikazu Fukuyama and Hsiao-Dong Chiang, "A parallel genetic algorithm for service restoration in electric power distribution systems," in Proceedings of the 1995 IEEE International Conference on Fuzzy Systems, Yokohama, Japan, March 1995, vol. 1, pp. 275-282.
8. Sudhakar Chavali, Anil Pahwa, and Sanjoy Das, "A genetic algorithm approach for optimal distribution feeder restoration during cold load pickup," in Proceedings of the 2002 IEEE Congress on Evolutionary Computation, Honolulu, HI, May 2002, pp. 1816-1819.
9. W. P. Luan, Malcolm R. Irving, and Jeremy S. Daniel, "Genetic algorithm for supply restoration and optimal load shedding in power system distribution networks," Proceedings of IEE Generation Transmission and Distribution, vol. 149, no. 2, pp. 145-151, 2002.
10. Sakae Toune, Hiroyuki Fudo, Takamu Genji, Yoshikazu Fukuyama, and Yosuke Nakanishi, "Comparative study of modern heuristic algorithms to service restoration in distribution systems," IEEE Transactions on Power Delivery, vol. 17, no. 1, pp. 173-181, January 2002.
11. Manuel A. Matos and Paulo Melo, "Multiobjective reconfiguration for loss reduction and service restoration using simulated annealing," in Proceedings of IEEE Budapest Power Tech'99, Budapest, Hungary, 1999.
12. Isamu Watanabe and Makoto Nodu, "A genetic algorithm for optimizing switching sequence of service restoration in distribution systems," in Proceedings of the 2004 IEEE Congress on Evolutionary Computation, Portland, OR, June 2004, pp. 1683-1690, IEEE Press.
13. Bryant A. Julstrom and Günter R. Raidl, "Initialization is robust in evolutionary algorithms that encode spanning trees as sets of edges," in Proceedings of the 2002 ACM Symposium on Applied Computing. 2002, pp. 547-552, ACM Press.
14. Günter R. Raidl and Bryant A. Julstrom, "Edge sets: An effective evolutionary coding of spanning trees," IEEE Transactions on Evolutionary Computation, vol. 7, no. 3, pp. 225-239, 2003.
15. Franz Rothlauf, Representations for Genetic and Evolutionary Algorithms, Springer-Verlag, 2nd edition, 2006.
16. James C. Bean, "Genetic algorithms and random keys for sequencing and optimization," ORSA Journal on Computing, vol. 6, no. 2, pp. 154-160, 1994.
17. Kenichi Aoki, Koichi Nara, Taiji Satoh, Minoru Kitagawa, and Koji Yamanaka, "New approximate optimization method for distribution system planning," IEEE Transactions on Power Systems, vol. 5, no. 1, pp. 126-132, February 1990.
18. Ravindra K. Ahuja, Thomas L. Magnanti, and James B. Orlin, Network Flows: Theory, Algorithms, and Applications, Prentice-Hall, 1993.
19. Satoru Fujishige, "A maximum flow algorithm using ma ordering," Operations Research Letters, vol. 31, no. 3, pp. 176-178, 2003.