An efficient unit commitment schedule by combining of continuous relaxation method and genetic algorithm

Ken Ichi Tokoro, Yasushi Masuda, Hisakazu Nishino

研究成果: Article査読

1 被引用数 (Scopus)

抄録

This paper proposes a genetic algorithm for solving a unit commitment schedule problem of electric generators, which formally is a mixed integer nonlinear programming problem. A chromosome represents a partial solution of binary variables. The fitness of an individual is evaluated based upon a solution of the problem where all free variables in the chromosome are relaxed to be continuous. Numerical experiments show that the proposed algorithm outperforms Lagrangian relaxation based methods developed so far.

本文言語English
ページ(範囲)1452-1459+22
ジャーナルIEEJ Transactions on Electronics, Information and Systems
127
9
DOI
出版ステータスPublished - 2007 1 1

ASJC Scopus subject areas

  • 電子工学および電気工学

フィンガープリント

「An efficient unit commitment schedule by combining of continuous relaxation method and genetic algorithm」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル