Coordinated scheduling and multi-energy storage planning for electric train operations
With increased interest in efficient railway transport, new energy management methods are becoming popular for railway systems. Traditional power systems find it challenging to guarantee efficiency and a stable supply when peak demand is high or sections are without catenary lines. In this paper, we...
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Elsevier
2025-09-01
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| Series: | Results in Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S259012302502818X |
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| author | Muhammad Talha Khalid Muhammad Yousif Syed Ali Abbas Kazmi Muhammad Umair Iftikhar Sultan Alghamdi Muhammad Waseem |
| author_facet | Muhammad Talha Khalid Muhammad Yousif Syed Ali Abbas Kazmi Muhammad Umair Iftikhar Sultan Alghamdi Muhammad Waseem |
| author_sort | Muhammad Talha Khalid |
| collection | DOAJ |
| description | With increased interest in efficient railway transport, new energy management methods are becoming popular for railway systems. Traditional power systems find it challenging to guarantee efficiency and a stable supply when peak demand is high or sections are without catenary lines. In this paper, we explore a system for planning and scheduling the management of energy in a traction rail running on a combination of Battery Energy Storage Systems and Hydrogen Energy Storage Systems. It aims to improve how traction rails make the most of their internal energy using the OCS to support more independence, greener trips, and stable energy under varying operational conditions and geographical terrains. Detailed profiling of traction rail behavior, traction power needs, and energy used over the gradient is included in the methodology. A method is presented for controlling the outputs of BESS and hydrogen fuel cells depending on the operational situation. The dynamic simulation is done in MATLAB Simulink to investigate power flow, the level of efficiency, and charge status as the load is varied in real time. The solution for real-time control system is formulated based on position, load, gradient as well as SOC of the load. Simulation results obtained depicted a decrease in energy consumption of 21.6 percent, hydrogen utilization of 27 percent and a proportionate decrease in battery cycles was 35 percent compared to traditional approaches bringing new insights into developing smart rail electrification strategies, mostly helpful for major freight and mixed-track systems in the construction of new Electric railway networks. |
| format | Article |
| id | doaj-art-c0c135014bd140c9919f3ff12d587a5a |
| institution | Kabale University |
| issn | 2590-1230 |
| language | English |
| publishDate | 2025-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Results in Engineering |
| spelling | doaj-art-c0c135014bd140c9919f3ff12d587a5a2025-08-24T05:14:20ZengElsevierResults in Engineering2590-12302025-09-012710675110.1016/j.rineng.2025.106751Coordinated scheduling and multi-energy storage planning for electric train operationsMuhammad Talha Khalid0Muhammad Yousif1Syed Ali Abbas Kazmi2Muhammad Umair Iftikhar3Sultan Alghamdi4Muhammad Waseem5US.-Pakistan Centre for Advanced Studies in Energy (USPCAS-E), National University of Sciences & Technology (NUST), H-12 Sector, Islamabad 44000, PakistanUS.-Pakistan Centre for Advanced Studies in Energy (USPCAS-E), National University of Sciences & Technology (NUST), H-12 Sector, Islamabad 44000, Pakistan; Corresponding authors.US.-Pakistan Centre for Advanced Studies in Energy (USPCAS-E), National University of Sciences & Technology (NUST), H-12 Sector, Islamabad 44000, PakistanDepartment of Electrical Engineering, NFC Institute of Engineering and Fertilizer Research, Faisalabad 38090, PakistanDepartment of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, 21589 Jeddah, Saudi Arabia; Center of Research Excellence in Renewable Energy and Power Systems, King Abdulaziz University, 21589 Jeddah, Saudi ArabiaInternational Renewable and Energy Systems Integration Research Group (IRESI), School of Business, Maynooth University, Maynooth, Co. Kildare W23 HW31, Ireland; Corresponding authors.With increased interest in efficient railway transport, new energy management methods are becoming popular for railway systems. Traditional power systems find it challenging to guarantee efficiency and a stable supply when peak demand is high or sections are without catenary lines. In this paper, we explore a system for planning and scheduling the management of energy in a traction rail running on a combination of Battery Energy Storage Systems and Hydrogen Energy Storage Systems. It aims to improve how traction rails make the most of their internal energy using the OCS to support more independence, greener trips, and stable energy under varying operational conditions and geographical terrains. Detailed profiling of traction rail behavior, traction power needs, and energy used over the gradient is included in the methodology. A method is presented for controlling the outputs of BESS and hydrogen fuel cells depending on the operational situation. The dynamic simulation is done in MATLAB Simulink to investigate power flow, the level of efficiency, and charge status as the load is varied in real time. The solution for real-time control system is formulated based on position, load, gradient as well as SOC of the load. Simulation results obtained depicted a decrease in energy consumption of 21.6 percent, hydrogen utilization of 27 percent and a proportionate decrease in battery cycles was 35 percent compared to traditional approaches bringing new insights into developing smart rail electrification strategies, mostly helpful for major freight and mixed-track systems in the construction of new Electric railway networks.http://www.sciencedirect.com/science/article/pii/S259012302502818XBattery energy storage system (BESS)Hybrid energy storage system (HESS)Energy management system (EMS)Hydrogen fuel cellsRail transportOverhead catenary system (OCS) |
| spellingShingle | Muhammad Talha Khalid Muhammad Yousif Syed Ali Abbas Kazmi Muhammad Umair Iftikhar Sultan Alghamdi Muhammad Waseem Coordinated scheduling and multi-energy storage planning for electric train operations Results in Engineering Battery energy storage system (BESS) Hybrid energy storage system (HESS) Energy management system (EMS) Hydrogen fuel cells Rail transport Overhead catenary system (OCS) |
| title | Coordinated scheduling and multi-energy storage planning for electric train operations |
| title_full | Coordinated scheduling and multi-energy storage planning for electric train operations |
| title_fullStr | Coordinated scheduling and multi-energy storage planning for electric train operations |
| title_full_unstemmed | Coordinated scheduling and multi-energy storage planning for electric train operations |
| title_short | Coordinated scheduling and multi-energy storage planning for electric train operations |
| title_sort | coordinated scheduling and multi energy storage planning for electric train operations |
| topic | Battery energy storage system (BESS) Hybrid energy storage system (HESS) Energy management system (EMS) Hydrogen fuel cells Rail transport Overhead catenary system (OCS) |
| url | http://www.sciencedirect.com/science/article/pii/S259012302502818X |
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