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

doi:10.1109/IIAI-AAI.2016.106

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

Graduate School of Information, Production and Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1032-1035
Number of pages	4
ISBN (Electronic)	9781467389853
DOIs	https://doi.org/10.1109/IIAI-AAI.2016.106
Publication status	Published - 2016 Aug 31
Event	5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016 - Kumamoto, Japan Duration: 2016 Jul 10 → 2016 Jul 14

Other

Other	5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016
Country/Territory	Japan
City	Kumamoto
Period	16/7/10 → 16/7/14

Keywords

Differential Evolution
Gas Transport Networks
Genetic Algorithm
Hybrid Systems
Petri Net

ASJC Scopus subject areas

Information Systems
Computer Networks and Communications
Computer Science Applications
Computer Vision and Pattern Recognition

Access to Document

10.1109/IIAI-AAI.2016.106

Cite this

Malamura, E., & Murata, T. (2016). Hybrid system modeling and operation schedule optimization for gas transportation network based on combined method of DE, GA and hybrid petri net. In Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016 (pp. 1032-1035). [7557765] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IIAI-AAI.2016.106

Hybrid system modeling and operation schedule optimization for gas transportation network based on combined method of DE, GA and hybrid petri net. / Malamura, Evgeny; Murata, Tomohiro.
Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1032-1035 7557765.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Malamura, E & Murata, T 2016, Hybrid system modeling and operation schedule optimization for gas transportation network based on combined method of DE, GA and hybrid petri net. in Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016., 7557765, Institute of Electrical and Electronics Engineers Inc., pp. 1032-1035, 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016, Kumamoto, Japan, 16/7/10. https://doi.org/10.1109/IIAI-AAI.2016.106

Malamura E, Murata T. Hybrid system modeling and operation schedule optimization for gas transportation network based on combined method of DE, GA and hybrid petri net. In Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 1032-1035. 7557765 doi: 10.1109/IIAI-AAI.2016.106

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

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Keywords

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