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Research on Optimal Allocation of Hybrid Energy Storage Capacity of Urban Rail Transit Based on Wavelet Packet Decomposition
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Shibing LIU, Peichi WU, Xing YU, Yeguang DAN
Journal of Power Supply | 2024, 22(4) : 143 - 151
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Journal of Power Supply | 2024, 22(4): 143-151
Renewable Energy System
Research on Optimal Allocation of Hybrid Energy Storage Capacity of Urban Rail Transit Based on Wavelet Packet Decomposition
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Shibing LIU, Peichi WU, Xing YU, Yeguang DAN
Affiliations
  • School of Electrical and Automation Engineering East China Jiaotong University Nanchang 330013 China
Published: 2024-07-30 doi: 10.13234/j.issn.2095-2805.2024.4.143
Outline
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Affected by factors such as wind speed and light intensity, wind power generation has characteristics of randomness, intermittence and large fluctuation, so its direct grid connection will cause damage to power grid. To realize a smooth grid connection of wind power and provide safe and reliable power supply to an urban rail transit system, a hybrid energy storage system composed of super capacitors and lithium batteries is proposed as a stabilizing measure. As the traction load of urban rail transit also fluctuates greatly, the hybrid energy storage system not only stabilizes the output of wind and photovoltaic (PV), but also stabilizes the traction load. The wavelet packet decomposition technology is used to decompose and reconstruct the traction load and wind and PV output power signals on multiple scales, the low-frequency wind and PV grid-connected power and medium-and high-frequency components are obtained, and batteries and super capacitors are used to absorb the medium-and high-frequency components, respectively. Aimed at the minimum comprehensive cost of hybrid energy storage system, the state-of-charge and power limit of the hybrid energy storage system are taken as constraints. The differential evolution particle swarm optimization algorithm with shrinkage factor is used to minimize the annual comprehensive cost of

Urban rail transit  /  hybrid energy storage system  /  wavelet packet decomposition  /  differential evolution particle swarm optimization
Shibing LIU, Peichi WU, Xing YU, Yeguang DAN. Research on Optimal Allocation of Hybrid Energy Storage Capacity of Urban Rail Transit Based on Wavelet Packet Decomposition[J]. Journal of Power Supply, 2024 , 22 (4) : 143 -151 . DOI: 10.13234/j.issn.2095-2805.2024.4.143
  • General Project of Key Research and Development Plan of Jiangxi Provincial Department of Science and Technology(GJJ150530)
  • Key Technologies of Multi Temporal and Spatial Scale Complementary Power Supply for Wind-PV-Energy Storage of Rail Transit(20192BBH80005)
  • Open Project of State Key Laboratory of Performance Monitoring and Protecting of Rail Transit Infrastructure(GJJ 210652)
Year 2024 volume 22 Issue 4
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Article Info
doi: 10.13234/j.issn.2095-2805.2024.4.143
  • Receive Date:2022-01-21
  • Online Date:2025-07-21
  • Published:2024-07-30
Article Data
Affiliations
History
  • Received:2022-01-21
  • Revised:2022-04-10
  • Accepted:2022-04-13
Funding
General Project of Key Research and Development Plan of Jiangxi Provincial Department of Science and Technology(GJJ150530)
Key Technologies of Multi Temporal and Spatial Scale Complementary Power Supply for Wind-PV-Energy Storage of Rail Transit(20192BBH80005)
Open Project of State Key Laboratory of Performance Monitoring and Protecting of Rail Transit Infrastructure(GJJ 210652)
Affiliations
    School of Electrical and Automation Engineering East China Jiaotong University Nanchang 330013 China
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表12种不同金属材料的力学参数

Family
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Number of
genus
种数
Number of
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Percentage of
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Number of
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Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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