Reactive tabu search for service restoration in electric power distribution systems

Sakae Toune, Hiroyuki Fudo, Takamu Genji, Yoshikazu Fukuyama, Yosuke Nakanishi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

43 Citations (Scopus)

Abstract

This paper presents a reactive tabu search for service restoration in electric power distribution systems. Service restoration is an emergency control in distribution control centers to restore out-of-service area as soon as possible when a fault occurs in distribution systems. Therefore, it requires fast computation time and high quality solutions for customers' satisfaction. The problem can be formulated as a combinatorial optimization problem to divide the out-of-service area to each power source. The effectiveness of the proposed method is demonstrated on typical service restoration problems. It is compared favorably with conventional tabu search, genetic algorithm, and parallel simulated annealing. The results reveal the speed and effectiveness of the proposed method for solving the problem.

Original languageEnglish
Title of host publicationProceedings of the IEEE Conference on Evolutionary Computation, ICEC
Editors Anon
PublisherIEEE
Pages763-768
Number of pages6
Publication statusPublished - 1998
Externally publishedYes
EventProceedings of the 1998 IEEE International Conference on Evolutionary Computation, ICEC'98 - Anchorage, AK, USA
Duration: 1998 May 41998 May 9

Other

OtherProceedings of the 1998 IEEE International Conference on Evolutionary Computation, ICEC'98
CityAnchorage, AK, USA
Period98/5/498/5/9

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ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)

Cite this

Toune, S., Fudo, H., Genji, T., Fukuyama, Y., & Nakanishi, Y. (1998). Reactive tabu search for service restoration in electric power distribution systems. In Anon (Ed.), Proceedings of the IEEE Conference on Evolutionary Computation, ICEC (pp. 763-768). IEEE.