A study on an energy saving train scheduling in consideration of vehicle load variations and loss model of traction circuit

Tsubasa Mineyoshi; Hiroyasu Kobayashi; Kenji Natori; Keiichiro Kondo

A study on an energy saving train scheduling in consideration of vehicle load variations and loss model of traction circuit

Tsubasa Mineyoshi, Hiroyasu Kobayashi, Kenji Natori, Keiichiro Kondo

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

Abstract

It is expected that electric railways realize further energy-saving performance. In electric railways, the energy consumption depends on the train scheduling. Therefore, some researches have addressed energy saving by studying train scheduling. One of the researches optimized energy consumption by changing train scheduling based on mathematical models. However, it did not consider uncertainties of operation conditions. Since there inevitably exist uncertainties like adhesion coefficient and vehicle load, those possibly affect the optimality. In this paper, we explicitly consider vehicle load variation. The energy consumption is modeled taking the vehicle load variation into account. Then, we study optimization of energy saving based on the derived energy consumption model. The effectiveness of the optimization approach is validated by simulation studies.

Original language	English
Title of host publication	19th International Conference on Electrical Machines and Systems, ICEMS 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9784886860989
Publication status	Published - 2017 Jan 30
Externally published	Yes
Event	19th International Conference on Electrical Machines and Systems, ICEMS 2016 - Chiba, Japan Duration: 2016 Nov 13 → 2016 Nov 16

Other

Other	19th International Conference on Electrical Machines and Systems, ICEMS 2016
Country/Territory	Japan
City	Chiba
Period	16/11/13 → 16/11/16

Keywords

Average Energy Consumption
Energy Saving
Vehicle Load

ASJC Scopus subject areas

Electrical and Electronic Engineering
Mechanical Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

A study on an energy saving train scheduling in consideration of vehicle load variations and loss model of traction circuit. / Mineyoshi, Tsubasa; Kobayashi, Hiroyasu; Natori, Kenji et al.

19th International Conference on Electrical Machines and Systems, ICEMS 2016. Institute of Electrical and Electronics Engineers Inc., 2017. 7837369.

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

Mineyoshi, T, Kobayashi, H, Natori, K & Kondo, K 2017, A study on an energy saving train scheduling in consideration of vehicle load variations and loss model of traction circuit. in 19th International Conference on Electrical Machines and Systems, ICEMS 2016., 7837369, Institute of Electrical and Electronics Engineers Inc., 19th International Conference on Electrical Machines and Systems, ICEMS 2016, Chiba, Japan, 16/11/13.

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abstract = "It is expected that electric railways realize further energy-saving performance. In electric railways, the energy consumption depends on the train scheduling. Therefore, some researches have addressed energy saving by studying train scheduling. One of the researches optimized energy consumption by changing train scheduling based on mathematical models. However, it did not consider uncertainties of operation conditions. Since there inevitably exist uncertainties like adhesion coefficient and vehicle load, those possibly affect the optimality. In this paper, we explicitly consider vehicle load variation. The energy consumption is modeled taking the vehicle load variation into account. Then, we study optimization of energy saving based on the derived energy consumption model. The effectiveness of the optimization approach is validated by simulation studies.",

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PY - 2017/1/30

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N2 - It is expected that electric railways realize further energy-saving performance. In electric railways, the energy consumption depends on the train scheduling. Therefore, some researches have addressed energy saving by studying train scheduling. One of the researches optimized energy consumption by changing train scheduling based on mathematical models. However, it did not consider uncertainties of operation conditions. Since there inevitably exist uncertainties like adhesion coefficient and vehicle load, those possibly affect the optimality. In this paper, we explicitly consider vehicle load variation. The energy consumption is modeled taking the vehicle load variation into account. Then, we study optimization of energy saving based on the derived energy consumption model. The effectiveness of the optimization approach is validated by simulation studies.

AB - It is expected that electric railways realize further energy-saving performance. In electric railways, the energy consumption depends on the train scheduling. Therefore, some researches have addressed energy saving by studying train scheduling. One of the researches optimized energy consumption by changing train scheduling based on mathematical models. However, it did not consider uncertainties of operation conditions. Since there inevitably exist uncertainties like adhesion coefficient and vehicle load, those possibly affect the optimality. In this paper, we explicitly consider vehicle load variation. The energy consumption is modeled taking the vehicle load variation into account. Then, we study optimization of energy saving based on the derived energy consumption model. The effectiveness of the optimization approach is validated by simulation studies.

KW - Average Energy Consumption

KW - Energy Saving

KW - Vehicle Load

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A study on an energy saving train scheduling in consideration of vehicle load variations and loss model of traction circuit

Abstract

Other

Keywords

ASJC Scopus subject areas

UN SDGs

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