Research on Demand Analysis and Optimal Allocation of Rail Transit Hybrid Energy Storage Based on the Electric Traction Model
With the development of power transmission technology and power electronics, electrified railroads are widely used and pose a great challenge for the power grid. Hybrid energy storage integrates different advantages of multiple energy storage and can cope with the complex energy situation of rail tr...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-09-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/15/19/6970 |
| _version_ | 1797479671918493696 |
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| author | Dixi Xin Jianlin Li Suliang Ma Chang’an Liu |
| author_facet | Dixi Xin Jianlin Li Suliang Ma Chang’an Liu |
| author_sort | Dixi Xin |
| collection | DOAJ |
| description | With the development of power transmission technology and power electronics, electrified railroads are widely used and pose a great challenge for the power grid. Hybrid energy storage integrates different advantages of multiple energy storage and can cope with the complex energy situation of rail transit. The complementary characteristics of lithium batteries and flywheels in terms of techno-economic indicators make them the main form of hybrid energy storage. In this paper, we analyze the power demand during train operation by studying the electromechanical characteristics of the rail transit traction process. On this basis, hybrid energy storage is configured to meet the power demand, and particle swarm optimization is chosen as the solution tool to perform the capacity configuration of lithium battery and flywheel in this paper. Finally, this paper proves the feasibility of the proposed theory by arithmetic example analysis, and it is shown that the proposed scheme can achieve a high percentage of energy reuse and low application cost. |
| first_indexed | 2024-03-09T21:49:10Z |
| format | Article |
| id | doaj.art-ab28b43b4e21407abaf14233a5a51b9a |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T21:49:10Z |
| publishDate | 2022-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-ab28b43b4e21407abaf14233a5a51b9a2023-11-23T20:10:57ZengMDPI AGEnergies1996-10732022-09-011519697010.3390/en15196970Research on Demand Analysis and Optimal Allocation of Rail Transit Hybrid Energy Storage Based on the Electric Traction ModelDixi Xin0Jianlin Li1Suliang Ma2Chang’an Liu3Electrical and Control Engineering College, North China University of Technology, Beijing 100144, ChinaElectrical and Control Engineering College, North China University of Technology, Beijing 100144, ChinaElectrical and Control Engineering College, North China University of Technology, Beijing 100144, ChinaElectrical and Control Engineering College, North China University of Technology, Beijing 100144, ChinaWith the development of power transmission technology and power electronics, electrified railroads are widely used and pose a great challenge for the power grid. Hybrid energy storage integrates different advantages of multiple energy storage and can cope with the complex energy situation of rail transit. The complementary characteristics of lithium batteries and flywheels in terms of techno-economic indicators make them the main form of hybrid energy storage. In this paper, we analyze the power demand during train operation by studying the electromechanical characteristics of the rail transit traction process. On this basis, hybrid energy storage is configured to meet the power demand, and particle swarm optimization is chosen as the solution tool to perform the capacity configuration of lithium battery and flywheel in this paper. Finally, this paper proves the feasibility of the proposed theory by arithmetic example analysis, and it is shown that the proposed scheme can achieve a high percentage of energy reuse and low application cost.https://www.mdpi.com/1996-1073/15/19/6970hybrid energy storagerail transittraction modeloptimized volume |
| spellingShingle | Dixi Xin Jianlin Li Suliang Ma Chang’an Liu Research on Demand Analysis and Optimal Allocation of Rail Transit Hybrid Energy Storage Based on the Electric Traction Model Energies hybrid energy storage rail transit traction model optimized volume |
| title | Research on Demand Analysis and Optimal Allocation of Rail Transit Hybrid Energy Storage Based on the Electric Traction Model |
| title_full | Research on Demand Analysis and Optimal Allocation of Rail Transit Hybrid Energy Storage Based on the Electric Traction Model |
| title_fullStr | Research on Demand Analysis and Optimal Allocation of Rail Transit Hybrid Energy Storage Based on the Electric Traction Model |
| title_full_unstemmed | Research on Demand Analysis and Optimal Allocation of Rail Transit Hybrid Energy Storage Based on the Electric Traction Model |
| title_short | Research on Demand Analysis and Optimal Allocation of Rail Transit Hybrid Energy Storage Based on the Electric Traction Model |
| title_sort | research on demand analysis and optimal allocation of rail transit hybrid energy storage based on the electric traction model |
| topic | hybrid energy storage rail transit traction model optimized volume |
| url | https://www.mdpi.com/1996-1073/15/19/6970 |
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