An algorithm for thermal unit maintenance scheduling through combined use of ga sa and ts

Hyunchul Kim*, Yasuhiro Hayashi, Koichi Nara

*この研究の対応する著者

研究成果: Article査読

114 被引用数 (Scopus)

抄録

This paper describes a method of solving a large scale long term thermal unit maintenance scheduling problem. In the solution algorithm, the genetic algorithm(GA), the simulated annealing(SA) and the tabu search(TS) are cooperatively used. The solution algorithm keeps the advantages of individual algorithm and shows a reasonable combination of local search and global search. The method takes the maintenance class and several consecutive years scheduling into consideration. Several real scale numerical examples demonstrate the effectiveness of the proposed method.

本文言語English
ページ(範囲)329-335
ページ数7
ジャーナルIEEE Transactions on Power Systems
12
1
DOI
出版ステータスPublished - 1997
外部発表はい

ASJC Scopus subject areas

  • エネルギー工学および電力技術
  • 電子工学および電気工学

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