Research on the Utilization of Metro Regenerative Braking Energy Based on an Improved Differential Evolution Algorithm
Urban metro trains have the characteristics of short running distance between stations and frequent starting and braking. A large amount of regenerative braking energy is generated during the braking process. The effective utilization of the regenerative braking energy can substantially reduce the t...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2020/7085809 |
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| _version_ | 1832566063000190976 |
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| author | Di Liu Song-Qing Zhu Yun-Rui Bi Kun Liu You-Xiong Xu |
| author_facet | Di Liu Song-Qing Zhu Yun-Rui Bi Kun Liu You-Xiong Xu |
| author_sort | Di Liu |
| collection | DOAJ |
| description | Urban metro trains have the characteristics of short running distance between stations and frequent starting and braking. A large amount of regenerative braking energy is generated during the braking process. The effective utilization of the regenerative braking energy can substantially reduce the total energy consumption of train operation. In this paper, we establish two integer programming models of train operation that maximize the overlap time between train traction and braking in peak hours and nonpeak hours. On this basis, an improved differential evolution (IDE) algorithm is developed for solving the two integer programming models. The results demonstrate that the overlap time increases by 51.44% after optimization using the IDE algorithm when the headway is set to 154 s in peak hours. The overlap time is further increased by 14.87% by optimizing the headway. In nonpeak hours, the overlap time of traction and braking of the trains in opposite directions at the same station is increased by optimizing the bidirectional departure interval, thereby reducing the total energy consumption of the system. |
| format | Article |
| id | doaj-art-537f70a391c6403e88e652ff8856ab81 |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-537f70a391c6403e88e652ff8856ab812025-02-03T01:05:12ZengWileyJournal of Advanced Transportation0197-67292042-31952020-01-01202010.1155/2020/70858097085809Research on the Utilization of Metro Regenerative Braking Energy Based on an Improved Differential Evolution AlgorithmDi Liu0Song-Qing Zhu1Yun-Rui Bi2Kun Liu3You-Xiong Xu4School of Automation, Nanjing Institute of Technology, Nanjing, 211167, ChinaSchool of Automation, Nanjing Institute of Technology, Nanjing, 211167, ChinaSchool of Automation, Nanjing Institute of Technology, Nanjing, 211167, ChinaSchool of Automation, Nanjing Institute of Technology, Nanjing, 211167, ChinaSchool of Automation, Nanjing Institute of Technology, Nanjing, 211167, ChinaUrban metro trains have the characteristics of short running distance between stations and frequent starting and braking. A large amount of regenerative braking energy is generated during the braking process. The effective utilization of the regenerative braking energy can substantially reduce the total energy consumption of train operation. In this paper, we establish two integer programming models of train operation that maximize the overlap time between train traction and braking in peak hours and nonpeak hours. On this basis, an improved differential evolution (IDE) algorithm is developed for solving the two integer programming models. The results demonstrate that the overlap time increases by 51.44% after optimization using the IDE algorithm when the headway is set to 154 s in peak hours. The overlap time is further increased by 14.87% by optimizing the headway. In nonpeak hours, the overlap time of traction and braking of the trains in opposite directions at the same station is increased by optimizing the bidirectional departure interval, thereby reducing the total energy consumption of the system.http://dx.doi.org/10.1155/2020/7085809 |
| spellingShingle | Di Liu Song-Qing Zhu Yun-Rui Bi Kun Liu You-Xiong Xu Research on the Utilization of Metro Regenerative Braking Energy Based on an Improved Differential Evolution Algorithm Journal of Advanced Transportation |
| title | Research on the Utilization of Metro Regenerative Braking Energy Based on an Improved Differential Evolution Algorithm |
| title_full | Research on the Utilization of Metro Regenerative Braking Energy Based on an Improved Differential Evolution Algorithm |
| title_fullStr | Research on the Utilization of Metro Regenerative Braking Energy Based on an Improved Differential Evolution Algorithm |
| title_full_unstemmed | Research on the Utilization of Metro Regenerative Braking Energy Based on an Improved Differential Evolution Algorithm |
| title_short | Research on the Utilization of Metro Regenerative Braking Energy Based on an Improved Differential Evolution Algorithm |
| title_sort | research on the utilization of metro regenerative braking energy based on an improved differential evolution algorithm |
| url | http://dx.doi.org/10.1155/2020/7085809 |
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