Hybrid system modeling and operation schedule optimization for gas transportation network based on combined method of DE, GA and hybrid petri net

Evgeny Malamura, Tomohiro Murata

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

We present an integrated Differential Evolution (DE), Genetic Algorithm (GA) and Hybrid Petri net (HPN) based approach for scheduling of a hybrid dynamical transport network operation. The main advantage of the proposed approach is a reduction of complexity in the optimization problem formulation for a system with non-linear constraints and hybrid discretecontinuous parameters and the impact of discontinuities of the search space ensued by autonomous switching of the network components. In particular the scheduling problem for a natural gas compressor station with parallel pumps is addressed in the case-study.

本文言語English
ホスト出版物のタイトルProceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1032-1035
ページ数4
ISBN(電子版)9781467389853
DOI
出版ステータスPublished - 2016 8 31
イベント5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016 - Kumamoto, Japan
継続期間: 2016 7 102016 7 14

Other

Other5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016
国/地域Japan
CityKumamoto
Period16/7/1016/7/14

ASJC Scopus subject areas

  • 情報システム
  • コンピュータ ネットワークおよび通信
  • コンピュータ サイエンスの応用
  • コンピュータ ビジョンおよびパターン認識

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