Research on cooperative control strategy for high efficiency and energy saving in virtually coupled train sets based on two-layer optimization
Virtual coupling is one of the cutting-edge technologies under research in the field of rail transportation. In order to improve operational efficiency and reduce operational energy consumption for virtually coupled train sets, this paper proposes a cooperative control strategy based on a two-layer...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Electric Drive for Locomotives
2025-01-01
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| Series: | 机车电传动 |
| Subjects: | |
| Online Access: | http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128X.2025.01.103 |
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| Summary: | Virtual coupling is one of the cutting-edge technologies under research in the field of rail transportation. In order to improve operational efficiency and reduce operational energy consumption for virtually coupled train sets, this paper proposes a cooperative control strategy based on a two-layer optimization approach. The upper layer focuses on efficiency optimization, establishing an objective function aimed at facilitating efficient departures and stops, and employing a multi-objective genetic algorithm to generate key information for decision-making. This key information serves as intermediate transfer variables within this two-layer model. The lower layer concentrates on energy-saving optimization, establishing an objective function for energy saving and utilizing a multi-objective particle swarm algorithm to optimize cruising curves. These configurations enable the operation of virtually coupled train sets under multi-objective cooperative control across the three phases of departing, cruising, and stopping. Simulation results show that, within the speed range of 0 to 70 km/h, the cooperative control strategy achieves a time interval of less than 5 seconds within the virtually coupled train sets for both departing and stopping. Furthermore, the energy-saving index of these train sets is improved by 5.8% under the condition of guaranteeing the operation duration of the cruising phase. These results demonstrate effective improvements in both operational efficiency and energy utilization for virtually coupled train sets across all the phases. |
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| ISSN: | 1000-128X |