Volume 24 Issue 5
Oct.  2024
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HUANG Hong-xin, HU Li-qun, ZHANG Yi-pu, XU Xian-feng. Configuration optimization for transportation self-consistent energy system architectures under different operation modes[J]. Journal of Traffic and Transportation Engineering, 2024, 24(5): 23-39. doi: 10.19818/j.cnki.1671-1637.2024.05.003
Citation: HUANG Hong-xin, HU Li-qun, ZHANG Yi-pu, XU Xian-feng. Configuration optimization for transportation self-consistent energy system architectures under different operation modes[J]. Journal of Traffic and Transportation Engineering, 2024, 24(5): 23-39. doi: 10.19818/j.cnki.1671-1637.2024.05.003

Configuration optimization for transportation self-consistent energy system architectures under different operation modes

doi: 10.19818/j.cnki.1671-1637.2024.05.003
Funds:

National Key Research and Development Program of China 2021YFB2601300

More Information
  • Author Bio:

    HUANG Hong-xin(1998-), male, doctoral student, 3414063118@qq.com

    HU Li-qun(1971-), male, professor, PhD, hlq123@126.com

  • Received Date: 2024-05-21
    Available Online: 2024-12-20
  • Publish Date: 2024-10-25
  • In order to promote the utilization of renewable energy in transportation space, four operation modes and corresponding transportation self-consistent energy system architectures were proposed to adapt to the complex and changeable traffic environment and engineering construction and operation conditions. Configuration optimization models of system architectures were established under each operation mode, and the improved non-dominated sorting genetic algorithm was used to solve the configuration optimization models. Combined with case studies, the influencing factors of system architecture configuration schemes under different operation modes were analyzed, and the performance characteristics and adaptability of system architecture configuration schemes to the traffic environment under different operation modes were given. Research results show that operation mode A has the best economic and environmental protection performance, and it is easy to meet construction conditions, but the system reliability is the worst. The simulated operation results under no additional constraints show that the energy loss possibility is 6.7%, and the low-importance load power cut possibility is 23.23%. Operation mode D has the best system reliability, but it requires high grid connection conditions, with a grid connection power of up to 483.53 kW. The characteristics of modes B and C are more balanced and can be applied to most traffic environments. There are conflicts between the optimization directions of different optimization objectives. For every 1% increase in technical or environmental protection performance indicators, the economic investment will increase by millions. The power discard rate mainly affects the configuration capacity of power sources with strong fluctuation in output power and energy storage. In the case of this paper, when hydropower is used, the power discard rate exceeds 40%. There is a linkage effect between different constraint indicators and optimization objectives, and there is a constraint masking phenomenon based on the difference in the strictness of different constraint requirements.

     

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