Solving unit commitment problem by combining of continuous relaxation method and genetic algorithm

Ken Ichi Tokoro, Yasushi Masuda, Hisakazu Nishino

研究成果: Conference contribution

11 被引用数 (Scopus)

抄録

This paper proposes a genetic algorithm for solving a unit commitment problem of electric generators, which formally is a mixed integer nonlinear programming problem. The proposed algorithm finds the optimal ON/OFF status of units by a combination of genetic algorithm and continuous relaxation method. In the proposed algorithm, a chromosome encodes a partial solution, in which the values of some variables are unfixed. The fitness of an individual is evaluated based upon a solution of the problem where all unfixed variables in the chromosome are relaxed to be continuous. Numerical experiments show the satisfactory performance of the proposed algorithm with respect to the solution quality for planning the actual unit commitment schedule.

本文言語English
ホスト出版物のタイトルProceedings of SICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology
ページ3474-3478
ページ数5
DOI
出版ステータスPublished - 2008 12 1
イベントSICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology - Tokyo, Japan
継続期間: 2008 8 202008 8 22

出版物シリーズ

名前Proceedings of the SICE Annual Conference

Other

OtherSICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology
国/地域Japan
CityTokyo
Period08/8/2008/8/22

ASJC Scopus subject areas

  • 制御およびシステム工学
  • コンピュータ サイエンスの応用
  • 電子工学および電気工学

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